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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
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    Explanations

    words related to the motor sports event "IndyCar"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Indy" and related terms

    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
     Gleaming
    -0.84
    istics
    -0.82
    utenberg
    -0.77
    aunder
    -0.73
    atche
    -0.72
    atin
    -0.69
     Imran
    -0.69
    ILA
    -0.69
    ascus
    -0.69
    orative
    -0.68
    POSITIVE LOGITS
     Eleven
    1.07
     Indy
    0.94
     Lights
    0.82
     Pacers
    0.81
    Car
    0.78
    ML
    0.76
     Colts
    0.73
    Ind
    0.73
    apolis
    0.72
    tti
    0.70
    Activations Density 0.012%

    No Known Activations