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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. 7-RES-JB
    11. 21573
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     unaccount
    -0.76
     scratches
    -0.71
     residues
    -0.68
    gow
    -0.65
     characterization
    -0.64
     foreground
    -0.62
     distance
    -0.61
     surfaces
    -0.61
     deviations
    -0.60
     embodiments
    -0.60
    POSITIVE LOGITS
     FREE
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     newsletter
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     subscribing
    0.81
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    0.79
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     subscribe
    0.77
     subscription
    0.75
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    0.75
    Activations Density 0.159%

    No Known Activations