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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. 14472
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to geographical locations, time periods, and quantitative data

    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
    aily
    -0.51
    DragonMagazine
    -0.50
    rencies
    -0.49
     mystery
    -0.49
    IENCE
    -0.48
    recated
    -0.48
    irie
    -0.47
    ikarp
    -0.46
    redients
    -0.46
    GW
    -0.45
    POSITIVE LOGITS
    .
    1.00
    *.
    0.95
    .;
    0.94
    .[
    0.94
     respectively
    0.90
    ;
    0.88
    .}
    0.88
    !.
    0.87
    .).
    0.86
    +.
    0.84
    Activations Density 1.362%

    No Known Activations