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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. 3017
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    Explanations

    phrases related to accidents, incidents, and disasters

    oai_token-act-pair · gpt-3.5-turbo

    events that lead to fatalities or injuries

    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
    imon
    -0.77
    soDeliveryDate
    -0.77
    inav
    -0.76
    soType
    -0.75
    wcsstore
    -0.72
     proxies
    -0.67
    Ide
    -0.66
     nurture
    -0.63
    dated
    -0.63
    wise
    -0.62
    POSITIVE LOGITS
     fatalities
    1.02
     injuring
    1.00
     deaths
    1.00
     damages
    0.98
     casualties
    0.95
     injuries
    0.92
     amput
    0.90
     wounding
    0.88
     evac
    0.86
     fatal
    0.86
    Activations Density 0.252%

    No Known Activations