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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. 6-RES-JB
    11. 23758
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    Explanations

    words related to shorthand or abbreviations, especially with emphasis on the token "SHORT"

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations and short forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Marcos
    -0.78
    anship
    -0.75
    ADS
    -0.75
    bryce
    -0.71
     Epstein
    -0.70
    rium
    -0.70
    ugi
    -0.70
    paio
    -0.70
     DRAG
    -0.69
    ILA
    -0.68
    POSITIVE LOGITS
    ly
    1.29
    ness
    1.20
    LY
    1.10
    nesses
    0.94
    hearted
    0.94
    heartedly
    0.91
    bodied
    0.89
    entimes
    0.87
    body
    0.87
    est
    0.86
    Activations Density 0.188%

    No Known Activations