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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. 3-RES-JB
    11. 8267
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    Explanations

    characters in non-English alphabets or specific symbols

    oai_token-act-pair · gpt-3.5-turbo

    specific characters or symbols, likely from non-Latin scripts or encodings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    owler
    -0.74
    hyde
    -0.71
     sleeves
    -0.69
    esville
    -0.68
    ammy
    -0.67
    ingers
    -0.67
    espie
    -0.66
     pestic
    -0.66
     strengths
    -0.65
     strongest
    -0.65
    POSITIVE LOGITS
    IJ
    1.21
    ×Ļ×
    1.07
    ת
    1.03
    ׾
    0.99
    κ
    0.99
    ×ķ
    0.97
    ï¸ı
    0.90
    ×
    0.87
    Ö
    0.86
    ãĤī
    0.83
    Activations Density 0.006%

    No Known Activations