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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. 9-RES-JB
    11. 6004
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    Explanations

    transportation-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to transportation-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    arial
    -0.75
    ividual
    -0.74
    kai
    -0.71
    sonian
    -0.71
    --+
    -0.71
    ellen
    -0.69
     bluff
    -0.69
    monds
    -0.68
    ãĥ£
    -0.68
    quist
    -0.68
    POSITIVE LOGITS
     hubs
    1.00
     infrastructure
    0.92
     transportation
    0.81
     routes
    0.79
     Infrastructure
    0.79
    âĹ¼
    0.77
     logistics
    0.76
     vehicles
    0.76
     metaphors
    0.74
    ãĥ¼ãĥ³
    0.74
    Activations Density 0.041%

    No Known Activations