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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. 11-RES-JB
    11. 14706
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    Explanations

    references to specific objects or events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific images or photographs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    advertising
    -0.88
    Write
    -0.83
    netflix
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    oway
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    -0.77
    alties
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    POSITIVE LOGITS
     aftermath
    1.28
     scene
    1.15
     underside
    1.12
     sunrise
    1.05
     skyline
    1.04
     devastation
    1.02
     silhouette
    0.97
     surroundings
    0.95
     sunset
    0.94
     workings
    0.94
    Activations Density 0.244%

    No Known Activations