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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. 1000
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    Explanations

    book titles or mentions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "book" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    00200000
    -0.71
    ilitary
    -0.71
     Yin
    -0.67
     VIDEOS
    -0.67
    asio
    -0.65
     Diaz
    -0.59
     Bots
    -0.59
    asonic
    -0.59
    odder
    -0.58
     Cabrera
    -0.58
    POSITIVE LOGITS
    stores
    1.48
    marks
    1.44
    worm
    1.35
    keeping
    1.28
    seller
    1.27
    shop
    1.26
    marked
    1.24
    worms
    1.23
    cases
    1.18
    mark
    1.14
    Activations Density 0.043%

    No Known Activations