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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. 20112
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    Explanations

    code snippets containing JavaScript functions

    oai_token-act-pair · gpt-3.5-turbo

    function definitions and their components in code

    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
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    Negative Logits
     Circus
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     AMA
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     Flavoring
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     Hed
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     âĢİ
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     Pros
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    POSITIVE LOGITS
    apply
    1.06
    bind
    1.05
    args
    1.00
    printf
    0.98
    code
    0.96
    md
    0.93
    context
    0.93
    string
    0.92
    func
    0.91
    msg
    0.90
    Activations Density 0.081%

    No Known Activations