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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. 19501
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    Explanations

    words related to societal issues such as income inequality, social injustice, and policy implications

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicating a connection or relationship within complex 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
     Balls
    -0.71
     Skies
    -0.71
    YS
    -0.68
    ydia
    -0.65
    eers
    -0.65
    Wallet
    -0.64
     Schumer
    -0.64
     Pigs
    -0.64
     Wheels
    -0.64
     Tears
    -0.63
    POSITIVE LOGITS
    rogens
    0.97
    rogen
    0.92
     overlapping
    0.90
    non
    0.90
     nonviolent
    0.82
     nont
    0.80
    nam
    0.79
     otherwise
    0.79
     conflicting
    0.79
     selective
    0.78
    Activations Density 0.156%

    No Known Activations