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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
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    Explanations

    mentions of accidents and related circumstances

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "accident."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    zee
    -0.91
    intendo
    -0.77
    tch
    -0.76
    ebus
    -0.75
    orthy
    -0.74
    orney
    -0.74
    asers
    -0.73
    Pr
    -0.73
    reens
    -0.72
    pees
    -0.72
    POSITIVE LOGITS
     accident
    0.92
     accidents
    0.83
    worthiness
    0.81
     crashes
    0.79
     crash
    0.78
     Odyssey
    0.77
     involving
    0.75
     occ
    0.72
     mish
    0.71
     wreck
    0.70
    Activations Density 0.012%

    No Known Activations