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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. 19586
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    Explanations

    keywords related to a specific sports team called the Rangers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Rangers football or baseball team

    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
    Not in Any Lists

    No Comments

    Negative Logits
    jamin
    -0.74
    ¢
    -0.73
    odus
    -0.73
    azeera
    -0.72
    à
    -0.71
    AFTA
    -0.71
    elly
    -0.71
    FACE
    -0.71
    semb
    -0.71
    ichick
    -0.71
    POSITIVE LOGITS
     Rangers
    1.15
     Regiment
    0.77
     Yard
    0.76
     Ranger
    0.76
     Brewers
    0.74
    folk
    0.71
     Rays
    0.70
     Jagu
    0.68
     Guards
    0.66
     Stadium
    0.65
    Activations Density 0.007%

    No Known Activations