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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
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    Explanations

    accidental events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "accident" and related terms associated with unintentional harm

    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
    estine
    -0.79
    tch
    -0.79
    tsky
    -0.77
    zee
    -0.77
    emonic
    -0.75
    sonian
    -0.74
    orthy
    -0.73
    ebus
    -0.71
    icrobial
    -0.71
    endas
    -0.71
    POSITIVE LOGITS
     accident
    0.97
    worthiness
    0.95
     involving
    0.91
     occ
    0.90
     hazard
    0.87
     accidents
    0.84
     occurring
    0.83
     wreck
    0.83
     occurred
    0.81
     fatalities
    0.79
    Activations Density 0.051%

    No Known Activations