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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. 8013
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    Explanations

    strings related to code syntax

    oai_token-act-pair · gpt-3.5-turbo

    words that denote capability or possibility

    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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    Negative Logits
    itect
    -0.91
    krit
    -0.88
    urer
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    erva
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    akedown
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    udeb
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    ffield
    -0.70
    akra
    -0.70
    ithing
    -0.70
    raining
    -0.69
    POSITIVE LOGITS
    pedia
    0.73
    lihood
    0.69
     idiots
    0.68
    ties
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     lapse
    0.66
     guid
    0.66
     Leafs
    0.65
     assemblies
    0.64
     Haram
    0.64
    atable
    0.63
    Activations Density 0.071%

    No Known Activations