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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. 3-RES-JB
    11. 9663
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    INDEX
    Explanations

    book titles

    oai_token-act-pair · gpt-3.5-turbo

    references to books

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sembly
    -0.74
    ilitary
    -0.73
     Yin
    -0.68
    hod
    -0.68
     Bots
    -0.66
    burgh
    -0.61
    cffff
    -0.61
     Diaz
    -0.61
    Chat
    -0.60
     distant
    -0.60
    POSITIVE LOGITS
    stores
    1.55
    marks
    1.30
    seller
    1.24
    book
    1.15
    marked
    1.10
    books
    1.09
    shop
    1.09
    worms
    1.08
    worm
    1.07
    cases
    1.02
    Activations Density 0.032%

    No Known Activations