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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. 10-RES-JB
    11. 12646
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    Explanations

    mentions or references to colleagues or coworkers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "colleagues" or related terms indicating professional relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acco
    -0.74
     Ukrain
    -0.71
     Tycoon
    -0.65
    itures
    -0.64
    sole
    -0.60
    consumer
    -0.60
     cryst
    -0.60
    clusively
    -0.59
    skinned
    -0.59
    istor
    -0.58
    POSITIVE LOGITS
    mates
    1.02
     colleagues
    0.95
    hip
    0.94
     colleague
    0.87
    peak
    0.85
    hips
    0.83
     coworkers
    0.77
    heet
    0.77
     whom
    0.74
     classmates
    0.73
    Activations Density 0.053%

    No Known Activations