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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. 4-RES-JB
    11. 15747
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    Explanations

    references to contributors or individuals contributing to various projects or endeavors

    oai_token-act-pair · gpt-3.5-turbo

    references to contributors in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    dar
    -0.75
     Lob
    -0.71
     Lumpur
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     Rite
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     Panther
    -0.67
     Bav
    -0.63
    ray
    -0.63
    ZI
    -0.62
    plane
    -0.62
    isen
    -0.62
    POSITIVE LOGITS
     laureate
    0.99
     contributor
    0.96
     contributors
    0.93
     Contribut
    0.93
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    0.82
     contribut
    0.77
    hip
    0.76
     contributions
    0.75
     Contributions
    0.75
    iosyncr
    0.75
    Activations Density 0.015%

    No Known Activations