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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 6452
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    bows
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    ades
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    arist
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    liest
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    vet
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    apers
    -0.70
    aper
    -0.69
    ffe
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     Springer
    -0.69
    POSITIVE LOGITS
     ado
    0.90
    MORE
    0.88
     VIDEOS
    0.87
     MORE
    0.87
     than
    0.85
     IMAGES
    0.85
     Than
    0.85
    htaking
    0.82
    agascar
    0.79
     WATCHED
    0.79
    Activations Density 0.020%

    No Known Activations