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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. 3-RES-JB
    11. 9241
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    Explanations

    words related to dealing with various situations or problems

    oai_token-act-pair · gpt-3.5-turbo

    the word "deal" in various contexts related to handling situations or emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orah
    -0.74
    ©¶æ¥µ
    -0.72
    fighter
    -0.67
    chart
    -0.65
    ischer
    -0.65
    icious
    -0.65
    mart
    -0.63
    OGR
    -0.61
    resy
    -0.61
    reader
    -0.60
    POSITIVE LOGITS
     regard
    1.18
     regards
    1.18
     respect
    0.97
    stood
    0.89
     impunity
    0.87
    umbn
    0.75
     medi
    0.73
     utmost
    0.73
    standing
    0.72
    ateral
    0.70
    Activations Density 0.167%

    No Known Activations