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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. 8-RES-JB
    6. 16025
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    INDEX
    Explanations

    descriptions and mentions of various story elements

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "story" and related discussions about narrative elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inence
    -0.90
    orem
    -0.81
    aurus
    -0.75
    ertodd
    -0.73
    agles
    -0.70
    usra
    -0.69
    oute
    -0.68
    heed
    -0.67
    olen
    -0.66
    ormonal
    -0.65
    POSITIVE LOGITS
    telling
    1.24
     arcs
    1.15
     arc
    1.08
    board
    1.05
    boards
    1.05
     synopsis
    0.97
    nexus
    0.89
    book
    0.88
    boarding
    0.88
    line
    0.86
    Activations Density 0.065%

    No Known Activations