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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. 10-RES-JB
    11. 13805
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to books and literature-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ilitary
    -0.73
     VIDEOS
    -0.72
     impunity
    -0.68
     Bots
    -0.67
    00200000
    -0.65
     Cabrera
    -0.60
     twitch
    -0.60
    AFP
    -0.60
     Yin
    -0.59
     Pearce
    -0.58
    POSITIVE LOGITS
    stores
    1.54
    marks
    1.46
    worm
    1.42
    seller
    1.36
    worms
    1.35
    shop
    1.32
    marked
    1.26
    keeping
    1.24
    sell
    1.19
    binding
    1.18
    Activations Density 0.061%

    No Known Activations