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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. 9876
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    Explanations

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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 @ 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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    Negative Logits
     tranquil
    -0.77
    cible
    -0.75
    gone
    -0.69
    ĪĴ
    -0.65
    nesia
    -0.63
     debilitating
    -0.63
     deduct
    -0.62
    sticks
    -0.62
    gran
    -0.62
    adal
    -0.61
    POSITIVE LOGITS
     Images
    0.98
     Entertainment
    0.93
     Ltd
    0.90
    ystem
    0.90
     IMAGES
    0.85
     Library
    0.85
     Annotations
    0.80
    Library
    0.80
     Writer
    0.79
     Agency
    0.78
    Activations Density 0.022%

    No Known Activations