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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. 13610
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    INDEX
    Explanations

    phrases posing questions or addressing issues

    oai_token-act-pair · gpt-3.5-turbo

    questions that are central or significant to a topic discussed in the text

    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
     discontinued
    -0.71
     substit
    -0.71
    say
    -0.69
     graceful
    -0.66
    tein
    -0.64
    authent
    -0.64
     scra
    -0.62
     Colossus
    -0.60
     faked
    -0.59
    loss
    -0.59
    POSITIVE LOGITS
     vex
    1.19
     fasc
    1.11
     arise
    1.10
     arises
    1.09
     fascinated
    1.07
     arose
    1.04
     resonate
    1.01
     concern
    1.01
     looms
    1.00
     intrigued
    0.99
    Activations Density 0.277%

    No Known Activations