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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. 12105
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    Explanations

    keywords related to sports events

    oai_token-act-pair · gpt-3.5-turbo

    references to sporting events or games

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.67
    ingen
    -0.65
    Adds
    -0.64
    aft
    -0.63
    oat
    -0.62
    ĺħ
    -0.61
    icht
    -0.59
     Diss
    -0.59
    ancies
    -0.59
    rane
    -0.58
    POSITIVE LOGITS
     against
    1.09
    manship
    0.97
    plan
    0.92
    day
    0.85
    keepers
    0.80
    against
    0.80
    keeper
    0.79
    winning
    0.79
     postponed
    0.77
     played
    0.77
    Activations Density 0.080%

    No Known Activations