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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. 20314
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuations and sentence-ending marks, indicating significant statements or conclusions

    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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    Negative Logits
     synthes
    -0.85
    undai
    -0.81
     eighteenth
    -0.81
     autobi
    -0.80
    conservancy
    -0.80
     immersion
    -0.78
    etheless
    -0.75
     eighteen
    -0.75
     challeng
    -0.73
    istar
    -0.73
    POSITIVE LOGITS
     pic
    1.65
     https
    1.34
    https
    1.29
     #
    1.28
    ðŁĺ
    1.28
     @
    1.25
     —
    1.19
     "@
    1.17
     ðŁij
    1.17
     ðŁ
    1.16
    Activations Density 0.248%

    No Known Activations