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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. 1001
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    Explanations

    information related to sports events, specifically football games and their schedules

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sporting events and their schedules

    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
    ndra
    -1.02
    etsy
    -0.73
    warts
    -0.71
    weak
    -0.70
    ²¾
    -0.69
    %]
    -0.69
    fur
    -0.69
     disillusion
    -0.66
    opian
    -0.65
     unconsciously
    -0.64
    POSITIVE LOGITS
     televised
    1.42
     kickoff
    1.35
     broadcast
    1.33
     ESPN
    1.29
    Tickets
    1.27
     LIVE
    1.26
     replay
    1.23
     Tickets
    1.22
     telev
    1.22
     Coverage
    1.20
    Activations Density 0.315%

    No Known Activations