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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. 4-RES-JB
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    Explanations

    references to the color brown, especially when mentioned in sequences or connected to specific attributes like hair or clothing

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "brown"

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

    No Comments

    Negative Logits
    isSpecialOrderable
    -0.81
    cffffcc
    -0.78
    oteric
    -0.78
    udeau
    -0.75
    acists
    -0.74
    ideos
    -0.74
    ORTS
    -0.70
    raltar
    -0.70
    ITAL
    -0.70
    ilant
    -0.69
    POSITIVE LOGITS
    beard
    0.94
    ish
    0.94
     brown
    0.88
    ies
    0.86
    coat
    0.83
    ing
    0.82
    lee
    0.81
    ie
    0.81
     trout
    0.81
     coats
    0.80
    Activations Density 0.008%

    No Known Activations