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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. 8157
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    oai_token-act-pair · gpt-3.5-turbo

    non-standard sentence structures or fragments

    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
    yssey
    -0.79
     conducts
    -0.72
    outine
    -0.70
     frequ
    -0.69
    ggles
    -0.67
    ulously
    -0.65
    rush
    -0.64
    ometry
    -0.64
    ural
    -0.63
    GGGGGGGG
    -0.63
    POSITIVE LOGITS
     fig
    0.67
    arde
    0.65
     Bahamas
    0.64
    amel
    0.64
    Ò
    0.64
     Imagine
    0.63
     Saints
    0.62
     Romeo
    0.62
    Reviewer
    0.62
     Moral
    0.62
    Activations Density 0.000%

    No Known Activations