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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. 4-RES-JB
    11. 1287
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    psons
    -0.87
    itar
    -0.84
    berman
    -0.80
    izophren
    -0.80
    helle
    -0.79
    arians
    -0.76
    ulton
    -0.73
    stead
    -0.72
    mel
    -0.70
    ibia
    -0.69
    POSITIVE LOGITS
     bidding
    0.83
     taste
    0.70
     auctions
    0.68
     grades
    0.67
     preferential
    0.67
    luster
    0.64
     Clarkson
    0.64
    Topic
    0.63
    estial
    0.63
     bidder
    0.63
    Activations Density 0.027%

    No Known Activations