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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. 3-RES-JB
    11. 22887
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ously
    -0.79
     persu
    -0.77
    accompan
    -0.74
    iqueness
    -0.66
     indebted
    -0.66
    mercial
    -0.65
     conspicuous
    -0.65
     wills
    -0.63
    olulu
    -0.63
     Messi
    -0.62
    POSITIVE LOGITS
    ANE
    1.02
    IRO
    1.02
    DF
    1.01
    DP
    0.95
    RS
    0.89
    OME
    0.89
    HT
    0.89
    GO
    0.89
    RAM
    0.85
    GL
    0.85
    Activations Density 0.007%

    No Known Activations