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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. 4-RES-JB
    6. 18989
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    Explanations

    statements or events that were broadcasted on television

    oai_token-act-pair · gpt-3.5-turbo

    references to televised events and broadcasts

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

    No Comments

    Negative Logits
    istries
    -0.76
    erie
    -0.71
    hart
    -0.71
    notations
    -0.71
    une
    -0.71
    osit
    -0.68
    uv
    -0.68
    ais
    -0.67
    err
    -0.66
    ube
    -0.65
    POSITIVE LOGITS
     televised
    1.02
     spectacle
    0.81
     announ
    0.81
     satell
    0.75
     millenn
    0.74
    ÃįÃį
    0.73
    soDeliveryDate
    0.72
     broadcasts
    0.72
     EDITION
    0.71
     VIDEOS
    0.70
    Activations Density 0.022%

    No Known Activations