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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. 3-RES-JB
    11. 5521
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    Explanations

    mentions of locations associated with incidents or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    locations associated with reported incidents, like shootings in specific cities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WIND
    -0.65
     Viking
    -0.62
     Byzantine
    -0.62
     Vulcan
    -0.62
    upper
    -0.61
    GMT
    -0.61
    brates
    -0.60
    PATH
    -0.60
    angible
    -0.60
     Grail
    -0.60
    POSITIVE LOGITS
     Bernardino
    1.20
     County
    1.02
    icides
    0.87
    cade
    0.80
     Rica
    0.77
    itiz
    0.76
    ienne
    0.76
    inia
    0.76
    ombies
    0.73
     shootings
    0.73
    Activations Density 0.006%

    No Known Activations