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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. 480
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    Explanations

    words related to transportation and legal issues, particularly those related to interstate activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to transportation and infrastructure

    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
    itsch
    -0.91
    Score
    -0.79
    gger
    -0.78
    udo
    -0.73
    vich
    -0.72
    ogy
    -0.70
    tsky
    -0.70
    lev
    -0.70
    este
    -0.69
    hai
    -0.69
    POSITIVE LOGITS
     interstate
    0.89
     commerce
    0.87
    aneously
    0.81
    ricanes
    0.80
     highway
    0.80
     highways
    0.78
    INESS
    0.75
    foreseen
    0.73
    adoes
    0.71
    vertisements
    0.71
    Activations Density 0.009%

    No Known Activations