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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. 526
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    Explanations

    large numerical values in the context of metrics such as energy production, monetary values, and limits

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to measurements and financial figures

    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
    ctor
    -0.67
    Keys
    -0.61
    Commerce
    -0.61
    inf
    -0.60
    advertising
    -0.57
    ichen
    -0.57
    Synopsis
    -0.57
    formation
    -0.57
    ollah
    -0.57
    Wiki
    -0.55
    POSITIVE LOGITS
     increments
    1.11
     apiece
    0.91
    +.
    0.86
    alion
    0.82
     altogether
    0.75
     total
    0.75
     hers
    0.70
     rounding
    0.70
     outright
    0.68
    /$
    0.67
    Activations Density 0.270%

    No Known Activations