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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. 11-RES-JB
    11. 6489
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    INDEX
    Explanations

    times and numerical values in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ñ
    -0.87
    ò
    -0.84
    aditional
    -0.84
    Orderable
    -0.83
    isSpecial
    -0.81
    ortunately
    -0.81
     exting
    -0.77
    ThumbnailImage
    -0.73
     glim
    -0.72
     entreprene
    -0.72
    POSITIVE LOGITS
    81
    1.55
    83
    1.54
    93
    1.54
    63
    1.54
    97
    1.53
    84
    1.53
    91
    1.52
    73
    1.52
    87
    1.52
    94
    1.52
    Activations Density 0.101%

    No Known Activations