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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
    11. 19508
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    INDEX
    Explanations

    words related to positive (ups) and negative (downs) aspects or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating positive and negative experiences

    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
    ب
    -0.83
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.73
    Footnote
    -0.73
    EVA
    -0.73
    ··
    -0.70
    ا
    -0.69
    Ú
    -0.69
    ________________________
    -0.69
    ________
    -0.68
    VICE
    -0.68
    POSITIVE LOGITS
    undown
    1.02
    ensical
    0.94
    uits
    0.94
    etting
    0.90
    ets
    0.90
    dates
    0.90
    rites
    0.89
    icult
    0.89
    stairs
    0.89
    escription
    0.88
    Activations Density 0.012%

    No Known Activations