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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. 5-RES-JB
    6. 21373
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    âĸ¬âĸ¬
    -0.73
    ollar
    -0.70
    âĸ¬
    -0.68
    Bloom
    -0.67
    è¦ļéĨĴ
    -0.67
     Masquerade
    -0.66
    Trend
    -0.62
    draft
    -0.62
    aternity
    -0.62
    CENT
    -0.62
    POSITIVE LOGITS
    imus
    0.77
    ĪĴ
    0.71
    wo
    0.65
    ams
    0.63
     routines
    0.62
     selector
    0.60
     programmed
    0.60
     rigged
    0.59
    ved
    0.59
     liner
    0.58
    Activations Density 0.425%

    No Known Activations