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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. 20272
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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
    alist
    -0.75
    avier
    -0.66
    ality
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     critical
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     foreground
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    riel
    -0.63
     precise
    -0.61
     clin
    -0.61
     evening
    -0.60
    mination
    -0.60
    POSITIVE LOGITS
     Try
    1.15
     Want
    1.15
     Check
    1.14
     Well
    1.10
     Nope
    1.09
     Become
    1.08
     Join
    1.07
     Consider
    1.06
     Learn
    1.06
     Then
    1.01
    Activations Density 0.088%

    No Known Activations