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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. 996
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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
    grim
    -0.71
    BuyableInstoreAndOnline
    -0.68
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    -0.65
     1070
    -0.63
     brill
    -0.63
     disillusion
    -0.63
    phot
    -0.63
    POSITIVE LOGITS
     constructor
    1.33
     initialization
    1.22
     callback
    1.19
     functions
    1.15
     variables
    1.10
     async
    1.08
     namespace
    1.08
     function
    1.08
     helper
    1.07
     parameter
    1.06
    Activations Density 0.443%

    No Known Activations