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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. 12823
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    Explanations

    elements related to sports and physical activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports strategy and performance metrics

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     plur
    -0.67
    Scient
    -0.66
    netflix
    -0.66
     Journals
    -0.63
     Paste
    -0.63
     Crimean
    -0.62
     Stern
    -0.61
    FINE
    -0.60
    Wiki
    -0.60
     Membership
    -0.60
    POSITIVE LOGITS
     offensively
    1.43
     defensively
    1.32
     efficiently
    1.06
     territ
    1.05
     athlet
    1.05
     consistently
    0.97
     vertically
    0.90
     against
    0.90
     frequently
    0.88
     whenever
    0.88
    Activations Density 0.231%

    No Known Activations