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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. 16666
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    INDEX
    Explanations

    phrases spoken in a casual conversation

    oai_token-act-pair · gpt-3.5-turbo

    statements expressing uncertainty or doubt

    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
    icipated
    -0.67
     Hels
    -0.66
     Whilst
    -0.64
     Kinnikuman
    -0.62
     NEO
    -0.62
    Released
    -0.61
     Released
    -0.61
    isks
    -0.61
    ãĥŁ
    -0.60
    ouses
    -0.60
    POSITIVE LOGITS
     clarification
    0.92
    Senator
    0.89
     quote
    0.86
    quote
    0.85
    question
    0.85
    laughs
    0.84
    laughter
    0.84
     âĢ¦"
    0.83
     clarify
    0.83
     [
    0.83
    Activations Density 0.678%

    No Known Activations