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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. 7-RES-JB
    11. 10878
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    Explanations

    questions starting with "What about" and related to various topics, including social issues, personal matters, and technology

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases that introduce new topics or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arm
    -0.77
    wikipedia
    -0.73
    cycle
    -0.73
    reen
    -0.72
    cc
    -0.69
    Ãį
    -0.69
    ety
    -0.69
    utch
    -0.68
    cil
    -0.68
    ¯¯¯¯¯¯¯¯
    -0.68
    POSITIVE LOGITS
     fairness
    0.74
    ...?
    0.72
    !?
    0.69
     those
    0.66
    ?]
    0.64
     grandchildren
    0.64
    !?"
    0.64
     protecting
    0.60
     polygamy
    0.59
     Guam
    0.59
    Activations Density 0.035%

    No Known Activations