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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. 19622
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    Explanations

    words related to roads and road safety

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of a specific term related to transportation or mapping

    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
    Not in Any Lists

    No Comments

    Negative Logits
    arians
    -0.84
    ividual
    -0.78
    tle
    -0.69
    irements
    -0.69
    illian
    -0.64
    uating
    -0.63
     Ces
    -0.62
    enance
    -0.62
    utical
    -0.61
     luc
    -0.60
    POSITIVE LOGITS
    ways
    1.22
    trip
    1.21
    blocks
    1.20
    block
    1.08
    show
    1.07
    map
    1.03
    side
    1.00
    maps
    0.98
    runner
    0.97
    hog
    0.95
    Activations Density 0.043%

    No Known Activations