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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. 9-RES-JB
    11. 8580
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    Explanations

    mentions of the name "Lin" with varying importance based on activation levels

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Lin."

    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
     Seym
    -0.97
    enance
    -0.77
    lain
    -0.73
    GROUND
    -0.72
    ij士
    -0.68
     Ceres
    -0.66
    theless
    -0.65
    EStream
    -0.64
    lehem
    -0.64
    raints
    -0.63
    POSITIVE LOGITS
    otype
    1.11
    eman
    1.11
    ergic
    1.05
    iets
    0.96
    nea
    0.95
    seed
    0.95
    emen
    0.95
    nette
    0.94
    emate
    0.94
    ework
    0.93
    Activations Density 0.057%

    No Known Activations