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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. 6-RES-JB
    11. 9893
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to academic publications or citations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    itiz
    -0.76
    canon
    -0.73
    justice
    -0.70
    netflix
    -0.67
    Senator
    -0.62
    unia
    -0.62
    VALUE
    -0.61
    LAB
    -0.60
    clock
    -0.60
    âĹ¼
    -0.59
    POSITIVE LOGITS
     et
    0.76
    .,
    0.74
     Handbook
    0.73
     Identification
    0.70
     Lv
    0.70
     Hunting
    0.68
     Jr
    0.66
    essing
    0.66
     âĵĺ
    0.66
     Pok
    0.65
    Activations Density 0.074%

    No Known Activations