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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. 4134
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    Explanations

    words related to paths, directions, and courses

    oai_token-act-pair · gpt-3.5-turbo

    references to specific routes or pathways

    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
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    No Comments

    Negative Logits
    uster
    -0.94
    iaries
    -0.78
    oat
    -0.78
    usters
    -0.76
     Hots
    -0.76
    luaj
    -0.74
    minster
    -0.73
    ucks
    -0.73
    akens
    -0.73
    hem
    -0.72
    POSITIVE LOGITS
     routes
    1.14
     route
    1.11
    route
    1.05
    Route
    0.92
    finding
    0.88
     Route
    0.85
    finder
    0.83
    ways
    0.78
    WAYS
    0.77
    nels
    0.77
    Activations Density 0.015%

    No Known Activations