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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. 9-RES-JB
    11. 13220
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     tremend
    -0.94
     flavorful
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     gubernatorial
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     harbor
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     gobl
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     rooting
    -0.67
     honoring
    -0.67
     subsidized
    -0.66
     folks
    -0.65
     humor
    -0.65
    POSITIVE LOGITS
    ↵
    1.32
    <|endoftext|>
    1.02
     However
    1.01
    SPONSORED
    0.96
     ®
    0.94
     Whilst
    0.93
     Defence
    0.90
     (£
    0.90
     Pict
    0.87
    ↵↵
    0.86
    Activations Density 0.302%

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