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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. 4-RES-JB
    11. 6844
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    Explanations

    statistics related to sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    references to teams or organizations in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    assets
    -0.67
     cov
    -0.65
     condol
    -0.64
    oshenko
    -0.63
    Limited
    -0.63
    nit
    -0.63
    Posted
    -0.62
     convol
    -0.62
    ishable
    -0.61
    doi
    -0.61
    POSITIVE LOGITS
    arez
    0.85
    enium
    0.85
    inki
    0.85
    udic
    0.78
    emonic
    0.76
    swers
    0.71
    rency
    0.70
    ardless
    0.68
    ahime
    0.68
     shootout
    0.68
    Activations Density 0.145%

    No Known Activations