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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. 19949
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    Explanations

    contractions of words

    oai_token-act-pair · gpt-3.5-turbo

    quotations or statements

    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
    Not in Any Lists

    No Comments

    Negative Logits
    SourceFile
    -0.91
    inav
    -0.80
    nown
    -0.79
    endor
    -0.79
    ãĥĵ
    -0.71
    ulhu
    -0.71
    afety
    -0.70
    itu
    -0.70
    mens
    -0.69
     oun
    -0.68
    POSITIVE LOGITS
     Wynne
    0.79
     =>
    0.67
     verdict
    0.63
    =>
    0.63
     motto
    0.62
     Brexit
    0.62
     Blackburn
    0.61
     tyres
    0.61
     excuse
    0.61
     mentality
    0.60
    Activations Density 0.041%

    No Known Activations