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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. 17090
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    Explanations

    the word stem "tr" followed by different suffixes

    oai_token-act-pair · gpt-3.5-turbo

    words related to transportation

    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
     Mechdragon
    -0.82
    ELS
    -0.77
    ãģ®éŃĶ
    -0.70
    NESS
    -0.67
    ELD
    -0.66
    IFIC
    -0.65
     Staples
    -0.63
    heid
    -0.61
     yeast
    -0.61
     summary
    -0.60
    POSITIVE LOGITS
    umps
    1.32
    unks
    1.18
    imester
    1.14
    icol
    1.12
    iceps
    1.11
    acer
    1.11
    icycle
    1.10
    ashing
    1.07
    ashed
    1.05
    ashes
    1.04
    Activations Density 0.013%

    No Known Activations