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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 23473
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    Explanations

    large quantities or numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable statistics or significant numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ieri
    -0.70
     Franch
    -0.66
     Agric
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    aples
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     Emerson
    -0.60
     Shel
    -0.60
     Aure
    -0.59
     Hau
    -0.59
    odder
    -0.59
     Tactics
    -0.58
    POSITIVE LOGITS
    \":
    0.73
     ..."
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     nutshell
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    \",
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     supra
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     goddamn
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    ????????
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    plet
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    !--
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    -[
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    Activations Density 0.594%

    No Known Activations