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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. 17970
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    Explanations

    statements made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    symbols or characters that may indicate special emphasis or emotional expression

    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
    chnology
    -0.75
    enium
    -0.68
    atown
    -0.66
    atre
    -0.64
    ction
    -0.62
    chieve
    -0.62
    odium
    -0.60
    icy
    -0.60
    ãĥ¯ãĥ³
    -0.60
    zbollah
    -0.58
    POSITIVE LOGITS
    said
    1.23
     according
    0.87
    according
    0.87
     said
    0.83
     says
    0.78
    ï¸ı
    0.70
     exclaimed
    0.68
     explained
    0.68
     spokesman
    0.67
    Pg
    0.66
    Activations Density 0.183%

    No Known Activations