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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. 4-RES-JB
    11. 10935
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    INDEX
    Explanations

    mentions of specific books

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Book" along with variations of it

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

    No Comments

    Negative Logits
    ilitary
    -0.89
    Downloadha
    -0.77
    asio
    -0.74
     VIDEOS
    -0.72
    orescence
    -0.72
    odder
    -0.69
    asonic
    -0.68
    00200000
    -0.67
     corrosion
    -0.65
    asive
    -0.65
    POSITIVE LOGITS
    stores
    1.32
    book
    1.12
    store
    1.11
    marks
    1.11
    mark
    1.08
    seller
    1.05
    worm
    1.05
    shop
    1.02
    she
    1.01
    Book
    1.01
    Activations Density 0.027%

    No Known Activations