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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. 22777
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    Explanations

    expressions indicating personal opinions about movies or works of art

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinions or experiences with movies

    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
     hierarchical
    -0.80
     administrative
    -0.73
     Administrative
    -0.71
     rhet
    -0.70
     leadership
    -0.70
     spokes
    -0.70
     insol
    -0.69
     slope
    -0.69
    Merit
    -0.69
     coercive
    -0.69
    POSITIVE LOGITS
     binge
    1.05
    ovies
    0.99
    favorite
    0.98
     playthrough
    0.98
     enjoyment
    0.95
     downloading
    0.91
     watching
    0.89
    Purchase
    0.86
    watching
    0.85
     Watching
    0.83
    Activations Density 0.936%

    No Known Activations