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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. 2-RES-JB
    11. 11169
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    Explanations

    references to a specific sports team named "Panthers"

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Panthers" and "Hurricanes" teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edited
    -0.73
    DonaldTrump
    -0.70
    skirts
    -0.66
    travel
    -0.66
    step
    -0.65
    TRUMP
    -0.65
    ĻĤ
    -0.65
     dece
    -0.64
    dit
    -0.64
    frame
    -0.64
    POSITIVE LOGITS
     Panther
    1.06
     Panthers
    1.03
     Awakens
    0.82
     Hurricanes
    0.74
     Coliseum
    0.73
    icum
    0.72
    sburg
    0.68
     Courage
    0.68
    \'
    0.67
     Sting
    0.66
    Activations Density 0.005%

    No Known Activations