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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. 6-RES-JB
    11. 2681
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    Explanations

    individuals or teams competing in sports events and their outcomes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive outcomes and victories in sports or battles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcs
    -0.86
    account
    -0.80
    paren
    -0.78
    bringer
    -0.75
    ribut
    -0.74
    venant
    -0.74
    udd
    -0.73
    fail
    -0.73
    iverse
    -0.73
    redits
    -0.72
    POSITIVE LOGITS
     fellow
    0.97
     him
    0.79
     opponents
    0.79
     finalists
    0.79
     unbeaten
    0.78
     opponent
    0.74
     Stephan
    0.73
     undefeated
    0.73
     RHP
    0.73
     Joe
    0.72
    Activations Density 0.123%

    No Known Activations