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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. 22821
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    Explanations

    words related to various fields such as politics, health, education, and technology

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to social issues and challenges faced by individuals and communities

    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
    WIND
    -0.70
    pload
    -0.68
    Sequ
    -0.67
    ãĤª
    -0.63
    Variable
    -0.61
     lasts
    -0.60
     Jeep
    -0.57
     consists
    -0.56
    TABLE
    -0.56
    Christmas
    -0.56
    POSITIVE LOGITS
     fame
    0.96
     who
    0.93
     whom
    0.91
     backgrounds
    0.87
     persuasion
    0.75
    who
    0.73
    cius
    0.72
    agher
    0.72
     hoping
    0.71
     testify
    0.70
    Activations Density 0.886%

    No Known Activations