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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. 19886
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    Explanations

    words related to coordination and organization

    oai_token-act-pair · gpt-3.5-turbo

    references to coordination and related terms

    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
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    No Comments

    Negative Logits
    duc
    -0.74
    anol
    -0.73
    liquid
    -0.71
    krit
    -0.71
    bern
    -0.71
    GER
    -0.71
    detail
    -0.69
    Sov
    -0.69
    clair
    -0.68
    cloth
    -0.68
    POSITIVE LOGITS
    inators
    0.96
    inated
    0.94
    inating
    0.79
    inational
    0.78
    wise
    0.75
     between
    0.73
    inates
    0.73
    inator
    0.71
    ination
    0.68
     Between
    0.67
    Activations Density 0.077%

    No Known Activations