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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. 8-RES-JB
    11. 9980
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    INDEX
    Explanations

    mentions of professional relationships or interactions, particularly those involving sharing information or feedback

    oai_token-act-pair · gpt-3.5-turbo

    mentions of colleagues or references to teamwork and collaboration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ukrain
    -0.75
    skinned
    -0.70
    itized
    -0.68
    sole
    -0.65
    clusively
    -0.64
     Tycoon
    -0.63
    aval
    -0.63
    istor
    -0.61
    Clear
    -0.60
    apor
    -0.60
    POSITIVE LOGITS
     colleagues
    1.09
     colleague
    0.98
     coworkers
    0.89
    ries
    0.85
     classmates
    0.77
    mates
    0.77
    ority
    0.73
    heses
    0.71
     colleg
    0.70
    tops
    0.70
    Activations Density 0.047%

    No Known Activations