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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. 8-RES-JB
    11. 16985
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    Explanations

    keywords related to technical concepts and complex topics like mechanisms, medical examinations, fuel mechanisms, and regulation

    oai_token-act-pair · gpt-3.5-turbo

    words related to evaluation or scrutiny of societal issues and policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Few-Token Promoting Features
    Quote Closing Feature
    •Bracket Closing Features Layer 8 GPT2 Small

    No Comments

    Negative Logits
    yrics
    -0.62
    ËĪ
    -0.58
    ãĥ¯ãĥ³
    -0.56
    surprisingly
    -0.56
     "#
    -0.55
     "_
    -0.55
     Zup
    -0.54
    bably
    -0.53
    pmwiki
    -0.53
     NFC
    -0.53
    POSITIVE LOGITS
    ,'"
    1.93
    ."
    1.86
    ',"
    1.85
    .,"
    1.80
     ..."
    1.79
    .'"
    1.78
    ,"
    1.75
    .")
    1.72
     âĢ¦"
    1.72
    ."[
    1.70
    Activations Density 1.044%

    No Known Activations