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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. 14396
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    Explanations

    references to different sports leagues and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to professional sports leagues and teams, particularly basketball and football

    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
    ua
    -0.65
    ãĥĥãĥĪ
    -0.64
    dos
    -0.62
    avers
    -0.61
    anan
    -0.61
    ifact
    -0.59
    ides
    -0.59
    ãĥ©
    -0.58
    ulence
    -0.57
    owner
    -0.56
    POSITIVE LOGITS
     fray
    1.23
     fold
    1.14
     ranks
    1.10
     lineup
    0.94
     hierarchy
    0.87
     spotlight
    0.86
     workforce
    0.85
    elight
    0.84
     sphere
    0.84
     limbo
    0.83
    Activations Density 0.276%

    No Known Activations