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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. 9147
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    Explanations

    mentions of locations or situations related to roadsides

    oai_token-act-pair · gpt-3.5-turbo

    references to 'roadside' locations

    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
    rals
    -0.80
    afort
    -0.76
    eric
    -0.75
    ebook
    -0.75
    ICO
    -0.73
    oras
    -0.73
    hem
    -0.73
    erion
    -0.72
    hematically
    -0.71
    cius
    -0.71
    POSITIVE LOGITS
     roadside
    1.14
     billboards
    0.85
     memorial
    0.77
     stalls
    0.72
     bombs
    0.71
     checkpoints
    0.69
     bombing
    0.68
     accident
    0.67
     billboard
    0.66
     bombings
    0.66
    Activations Density 0.008%

    No Known Activations