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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18874
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    elf
    -0.78
    olicy
    -0.66
    rieve
    -0.65
    é¾įå
    -0.64
    liness
    -0.64
    earance
    -0.62
    ĸļ
    -0.61
    Frameworks
    -0.61
     Shack
    -0.59
    UTF
    -0.59
    POSITIVE LOGITS
    ysis
    1.20
    pha
    1.19
    idad
    1.07
    ized
    1.07
    ogy
    1.06
    tarian
    1.04
    ité
    1.04
    ities
    1.04
    icious
    1.00
    tarians
    0.99
    Activations Density 0.102%

    No Known Activations