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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. 10-RES-JB
    11. 6464
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    Explanations

    terms related to sports leagues and their operations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety in the context of sports and governance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chin
    -0.87
    Eva
    -0.76
    morning
    -0.76
     vulner
    -0.73
    ilantro
    -0.72
    ãĥ©ãĥ³
    -0.72
     tmp
    -0.70
    BOOK
    -0.69
    orah
    -0.69
    ilus
    -0.69
    POSITIVE LOGITS
     leagues
    1.72
     league
    1.55
     NCAA
    1.55
     clubs
    1.47
     sport
    1.45
     stadiums
    1.45
     Football
    1.44
     Players
    1.42
     championships
    1.41
     franchises
    1.40
    Activations Density 0.816%

    No Known Activations