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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. 13777
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    Explanations

    words related to influence, motivation, and driving factors

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating influence or motivation behind actions or changes

    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
    lore
    -0.61
    orage
    -0.57
     Kinnikuman
    -0.56
    tower
    -0.55
    essage
    -0.55
    ITNESS
    -0.55
    oss
    -0.54
     Canad
    -0.54
    issues
    -0.54
    oos
    -0.53
    POSITIVE LOGITS
     by
    1.39
    by
    1.16
    By
    1.06
     BY
    1.03
     By
    1.00
     partly
    0.93
     solely
    0.92
    bys
    0.90
     principally
    0.88
     chiefly
    0.88
    Activations Density 0.114%

    No Known Activations