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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. 891
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    Explanations

    parts of text that follow a specific pattern, potentially related to coding or data organization

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical data or statistics

    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
    ardless
    -0.67
     blot
    -0.65
     weap
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     ET
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    essage
    -0.62
     EPS
    -0.62
     reconc
    -0.62
     millisec
    -0.61
     fuse
    -0.60
     predic
    -0.58
    POSITIVE LOGITS
    IV
    0.83
    į
    0.79
    ivia
    0.72
    ģ«
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    bowl
    0.69
    γ
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    α
    0.66
    III
    0.66
    ķ
    0.65
    ľ
    0.64
    Activations Density 0.098%

    No Known Activations