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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. 11-RES-JB
    11. 9349
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    Explanations

    references or instances of "not commenting" or "unable to comment" in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of statements regarding the inability or refusal to comment on certain issues or matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iHUD
    -0.68
    DragonMagazine
    -0.66
    example
    -0.65
    Ranked
    -0.64
    adobe
    -0.63
    Tes
    -0.62
    aez
    -0.62
    YP
    -0.61
    Tile
    -0.57
    Maps
    -0.57
    POSITIVE LOGITS
     further
    1.09
     publicly
    1.03
     specifics
    0.98
     specifically
    0.96
     directly
    0.94
     definitively
    0.89
     afterward
    0.88
     beyond
    0.87
     extensively
    0.86
     negatively
    0.86
    Activations Density 0.055%

    No Known Activations