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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. 7-RES-JB
    11. 13852
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    INDEX
    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to significant individuals and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ģĸ
    -0.60
     "$
    -0.60
     "
    -0.57
     "_
    -0.57
     "#
    -0.56
     archived
    -0.54
    ighed
    -0.54
     automakers
    -0.54
     echoed
    -0.53
    translation
    -0.53
    POSITIVE LOGITS
     ..."
    1.69
     âĢ¦"
    1.67
    .,"
    1.50
    ,'"
    1.48
    ,"
    1.46
    âĢ¦"
    1.43
    ..."
    1.42
    ',"
    1.42
    !"
    1.41
    ),"
    1.40
    Activations Density 0.904%

    No Known Activations