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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. 11-RES-JB
    11. 1079
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    Explanations

    proper nouns and entities mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to participants or contributors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bis
    -0.85
    catentry
    -0.84
    Recipe
    -0.78
    empt
    -0.77
    ridges
    -0.73
    ript
    -0.73
    dule
    -0.72
    inx
    -0.72
    ritic
    -0.71
    poke
    -0.70
    POSITIVE LOGITS
     representatives
    1.23
     Reps
    1.16
     actresses
    1.06
     comedians
    1.02
     former
    0.98
     celebrities
    0.95
     CEOs
    0.95
     Representatives
    0.95
     mayors
    0.95
     actors
    0.94
    Activations Density 0.299%

    No Known Activations