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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. 20300
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    Explanations

    sports teams or events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams and events

    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
    tymology
    -0.84
    %%%%
    -0.82
     memos
    -0.79
    kefeller
    -0.73
    ibliography
    -0.72
    vre
    -0.67
    natureconservancy
    -0.64
    pmwiki
    -0.64
     journals
    -0.64
     billing
    -0.62
    POSITIVE LOGITS
     Wolves
    0.74
     Hots
    0.73
     rivals
    0.71
     Eagles
    0.70
     rival
    0.68
     tonight
    0.68
     Stadium
    0.68
     Giants
    0.66
     Highlights
    0.65
     RHP
    0.65
    Activations Density 0.147%

    No Known Activations