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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. 7-RES-JB
    11. 14573
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    Explanations

    medical-related terms related to accidents and injuries

    oai_token-act-pair · gpt-3.5-turbo

    references to accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zee
    -0.86
    sonian
    -0.81
    estine
    -0.80
    bitious
    -0.76
    secut
    -0.75
    tch
    -0.75
    ebus
    -0.75
    reens
    -0.74
    anyahu
    -0.73
    itton
    -0.72
    POSITIVE LOGITS
    worthiness
    0.91
     involving
    0.90
     accident
    0.90
     occ
    0.86
     occurring
    0.85
     accidents
    0.84
     hazard
    0.82
     occurred
    0.79
     fatalities
    0.74
     Investigator
    0.71
    Activations Density 0.036%

    No Known Activations