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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. 7022
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    INDEX
    Explanations

    numeric values related to various metrics such as records, estimates, and percentages

    oai_token-act-pair · gpt-3.5-turbo

    references to financial metrics and statistical highs or lows

    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
    Not in Any Lists

    No Comments

    Negative Logits
     proble
    -0.69
     compe
    -0.67
    itiz
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    Tact
    -0.65
     destro
    -0.65
     perspect
    -0.64
     administ
    -0.63
    transfer
    -0.62
     challeng
    -0.62
     describ
    -0.61
    POSITIVE LOGITS
     37
    0.98
     39
    0.97
     47
    0.95
     57
    0.95
     46
    0.94
     59
    0.92
     54
    0.92
     45
    0.92
     42
    0.91
     55
    0.91
    Activations Density 0.215%

    No Known Activations