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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. 7-RES-JB
    11. 20009
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific substances or regulatory standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ries
    -0.79
    butt
    -0.73
    aneously
    -0.71
    ered
    -0.69
    ously
    -0.69
    iations
    -0.66
    xious
    -0.66
    thinkable
    -0.65
    scene
    -0.63
    cake
    -0.63
    POSITIVE LOGITS
    ocial
    1.28
    ettings
    1.26
    ESSION
    1.14
    ELF
    1.05
    ource
    1.04
    IX
    1.03
    nyder
    1.03
    ystem
    1.02
    aunders
    1.01
    OURCE
    1.01
    Activations Density 0.063%

    No Known Activations