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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. 6052
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    Explanations

    phrases related to dealing with situations or issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases that focus on dealing with challenges or situations

    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
    ©¶æ¥µ
    -0.75
    OGR
    -0.72
    reader
    -0.71
    Champ
    -0.69
    STAT
    -0.66
    orah
    -0.66
    chart
    -0.66
    fighter
    -0.65
    wikipedia
    -0.64
    named
    -0.63
    POSITIVE LOGITS
     regard
    0.94
     regards
    0.87
    stood
    0.77
     respect
    0.76
    umbn
    0.75
     them
    0.69
     medi
    0.69
     inherited
    0.65
     him
    0.64
     impunity
    0.63
    Activations Density 0.065%

    No Known Activations