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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. 5293
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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
     swiftly
    -0.87
     timely
    -0.79
     hastily
    -0.76
     painfully
    -0.76
     undes
    -0.75
     unsus
    -0.75
     clut
    -0.73
     weary
    -0.72
     promptly
    -0.70
     harshly
    -0.69
    POSITIVE LOGITS
     Somebody
    1.40
     Whereas
    1.38
     Obviously
    1.36
     Basically
    1.34
     Everybody
    1.34
     And
    1.31
     Certainly
    1.30
     Secondly
    1.27
     Usually
    1.23
     So
    1.22
    Activations Density 0.350%

    No Known Activations