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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. 3-RES-JB
    11. 5986
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    Explanations

    NFL teams, particularly the San Francisco 49ers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific sports team, the 49ers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atform
    -0.66
    EngineDebug
    -0.66
    judicial
    -0.65
    uras
    -0.64
     partic
    -0.63
     cabin
    -0.62
    Medium
    -0.61
    riv
    -0.61
     newsp
    -0.61
    nces
    -0.60
    POSITIVE LOGITS
    士
    1.04
     Dynasty
    0.82
     Awakens
    0.80
     Era
    0.80
     Reloaded
    0.75
     Athletics
    0.74
     Eagles
    0.74
     Offense
    0.74
    owitz
    0.73
     Chiefs
    0.73
    Activations Density 0.025%

    No Known Activations