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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9770
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    Explanations

    locations associated with tragic events or atrocities

    oai_token-act-pair · gpt-3.5-turbo

    references to significant incidents or events, particularly mass shootings

    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
    natureconservancy
    -0.81
    minist
    -0.80
    lot
    -0.76
    BILITIES
    -0.76
    sers
    -0.75
    linger
    -0.72
    NOW
    -0.71
    HAEL
    -0.71
    Position
    -0.70
    é¾įå¥ij士
    -0.68
    POSITIVE LOGITS
     Ukraine
    1.03
    humane
    1.01
     Yugoslavia
    1.00
    effic
    0.96
     Yemen
    0.94
     Libya
    0.91
    efficiency
    0.90
     conjunction
    0.90
     Catalonia
    0.90
     Syria
    0.90
    Activations Density 0.220%

    No Known Activations