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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. 9-RES-JB
    11. 23295
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    Explanations

    references to colleagues in a workplace setting

    oai_token-act-pair · gpt-3.5-turbo

    references to colleagues or coworkers in a work environment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sole
    -0.76
    skinned
    -0.71
    acco
    -0.67
    itized
    -0.64
     Ukrain
    -0.63
    istor
    -0.63
     territ
    -0.62
    clusively
    -0.62
    consumer
    -0.59
     cryst
    -0.58
    POSITIVE LOGITS
     colleagues
    1.02
     colleague
    0.90
     coworkers
    0.83
    ries
    0.77
    mates
    0.77
    hip
    0.73
    ority
    0.70
     classmates
    0.69
    heet
    0.69
    peak
    0.69
    Activations Density 0.055%

    No Known Activations