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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. 21219
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    INDEX
    Explanations

    phrases related to storytelling or narratives

    oai_token-act-pair · gpt-3.5-turbo

    references to narrative elements and storytelling

    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
    orem
    -0.78
    inence
    -0.74
    agles
    -0.68
     WATCHED
    -0.67
    amba
    -0.66
    aurus
    -0.66
    oute
    -0.66
    ertodd
    -0.65
    ntil
    -0.64
    ategory
    -0.64
    POSITIVE LOGITS
    telling
    1.46
     arc
    1.17
     arcs
    1.16
    boards
    1.14
    board
    1.13
    book
    1.07
    te
    1.06
     synopsis
    1.01
    line
    0.95
    nexus
    0.94
    Activations Density 0.052%

    No Known Activations