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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. 8-RES-JB
    11. 23443
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    Explanations

    list items or steps in an instructional or informative context

    oai_token-act-pair · gpt-3.5-turbo

    elements related to structured formats or questions in the text

    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
    paces
    -0.73
    undai
    -0.70
    cale
    -0.69
    ggle
    -0.69
    ught
    -0.65
    phia
    -0.65
    ignt
    -0.65
    20439
    -0.64
    lt
    -0.63
     territ
    -0.60
    POSITIVE LOGITS
     Description
    1.31
     Details
    1.28
     Overview
    1.15
     Summary
    1.12
     Highlights
    1.07
     Notes
    1.05
     Contents
    1.03
     Size
    1.03
     Facts
    1.02
     Locations
    0.96
    Activations Density 0.273%

    No Known Activations