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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. 10-RES-JB
    11. 21347
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    Explanations

    names of people (like Mr and Ms) followed by actions or statements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals, particularly those with the title "Mr." and their associated actions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TOR
    -0.88
    Interstitial
    -0.87
    STATE
    -0.81
    WASHINGTON
    -0.80
    LET
    -0.79
    TPP
    -0.79
    milo
    -0.79
    archives
    -0.79
    Philadelphia
    -0.78
    PRES
    -0.77
    POSITIVE LOGITS
     Osborne
    1.03
     Newman
    1.02
     Abbott
    1.02
     Rudd
    0.99
     Duncan
    0.99
     Turnbull
    0.99
     Farage
    0.98
     McDonnell
    0.98
     Mc
    0.97
     Hyde
    0.94
    Activations Density 0.048%

    No Known Activations