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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. 10-RES-JB
    11. 13948
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     glim
    -0.93
     volunte
    -0.81
    isbury
    -0.78
     entreprene
    -0.77
     powering
    -0.77
    ahime
    -0.74
     achie
    -0.74
     tradem
    -0.73
     millenn
    -0.73
     workspace
    -0.72
    POSITIVE LOGITS
     Furthermore
    1.71
     Similarly
    1.70
     Nevertheless
    1.69
     Moreover
    1.69
     Nonetheless
    1.68
     Likewise
    1.64
     Lastly
    1.57
     Interestingly
    1.56
     Thus
    1.53
     Additionally
    1.53
    Activations Density 0.592%

    No Known Activations