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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. 6-RES-JB
    11. 14107
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    Explanations

    words related to completing tasks or requirements, specifically with connotations of approval or completion

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to checking off tasks or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ocally
    -0.72
     ILCS
    -0.70
    uthor
    -0.68
    pite
    -0.68
    ibaba
    -0.66
    MpServer
    -0.63
    ãĥ´ãĤ¡
    -0.62
    ufact
    -0.62
    ¬¼
    -0.61
    perty
    -0.61
    POSITIVE LOGITS
    lish
    1.05
    lers
    0.95
    ety
    0.94
    ering
    0.90
    eting
    0.90
    eworthy
    0.88
    ling
    0.86
    leness
    0.86
    ularity
    0.83
    erk
    0.82
    Activations Density 0.021%

    No Known Activations