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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18552
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    INDEX
    Explanations

    phrases indicating a large quantity or amount

    oai_token-act-pair · gpt-3.5-turbo

    frequent mentions of the word "lot."

    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
    ESCO
    -0.69
    ħĭ
    -0.62
    gary
    -0.59
    merce
    -0.59
    deen
    -0.57
     Mechdragon
    -0.57
    ufact
    -0.57
    inary
    -0.57
    gypt
    -0.57
    odan
    -0.57
    POSITIVE LOGITS
     of
    0.95
     happening
    0.88
     riding
    0.85
     going
    0.79
     invested
    0.72
     wrong
    0.71
     else
    0.71
     more
    0.67
     accomplished
    0.66
     crammed
    0.66
    Activations Density 0.051%

    No Known Activations