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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. 14381
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    Explanations

    mentions of drone-related activities and events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of drones and their related activities or incidents

    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
    hof
    -0.83
     Cumber
    -0.81
    orio
    -0.76
    uations
    -0.75
    itution
    -0.74
    orie
    -0.74
     Neh
    -0.74
    Ļ½
    -0.71
     Magicka
    -0.71
    values
    -0.70
    POSITIVE LOGITS
     drone
    1.14
     drones
    1.02
     aircraft
    0.92
    Deploy
    0.92
     pilot
    0.87
     strike
    0.87
     unmanned
    0.87
     pilots
    0.86
     buzzing
    0.85
     Drone
    0.84
    Activations Density 0.046%

    No Known Activations