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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. 1985
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    Explanations

    book titles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of books

    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
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    Negative Logits
     Deity
    -0.67
     Yin
    -0.65
     Bots
    -0.64
    00200000
    -0.62
     distant
    -0.62
    hod
    -0.62
     twitch
    -0.59
    Xi
    -0.59
     ripple
    -0.58
    cffff
    -0.57
    POSITIVE LOGITS
    stores
    1.37
    seller
    1.14
    marks
    1.12
    shop
    1.06
    itatively
    1.00
    marked
    1.00
    worm
    0.98
    worms
    0.97
    sell
    0.90
    keeping
    0.89
    Activations Density 0.049%

    No Known Activations