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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. 6686
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    Explanations

    CSS style properties and values

    oai_token-act-pair · gpt-3.5-turbo

    CSS style properties and layout configurations

    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
    gaard
    -0.78
    Downloadha
    -0.71
     Challenges
    -0.64
    terness
    -0.62
     exams
    -0.62
     Imran
    -0.61
     psychic
    -0.61
    issance
    -0.60
     Machina
    -0.60
     frustrations
    -0.60
    POSITIVE LOGITS
    margin
    1.30
    padding
    1.28
     padding
    1.19
     width
    1.13
    background
    1.12
     font
    1.11
    font
    1.09
    "></
    1.09
    border
    1.08
    width
    1.07
    Activations Density 0.052%

    No Known Activations