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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. 11490
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    INDEX
    Explanations

    dates and specific times mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or happenings

    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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    owship
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    viation
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    gnu
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    raviolet
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    estones
    -0.63
    FTWARE
    -0.61
    ogyn
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    roth
    -0.59
     dwarves
    -0.57
    POSITIVE LOGITS
    Photos
    0.98
     VIDEOS
    0.96
     Replay
    0.90
     clip
    0.81
    PHOTOS
    0.80
     Photos
    0.73
    Video
    0.72
     });
    0.68
    });
    0.68
    Photo
    0.67
    Activations Density 0.087%

    No Known Activations