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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. 10-RES-JB
    11. 712
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    Explanations

    text related to colors

    oai_token-act-pair · gpt-3.5-turbo

    references to colors and their various representations or associations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.96
    uthor
    -0.86
    _-
    -0.85
    olicy
    -0.72
    cffffcc
    -0.70
    llah
    -0.68
    yip
    -0.67
    =-=-
    -0.67
    idem
    -0.67
    ernel
    -0.66
    POSITIVE LOGITS
    blind
    1.29
     palette
    1.26
     coded
    0.97
    ="#
    0.95
     palate
    0.94
     tint
    0.93
    coded
    0.91
     scheme
    0.91
    imeter
    0.90
     blindness
    0.90
    Activations Density 0.043%

    No Known Activations