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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. 2-RES-JB
    11. 1554
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to packaged products or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     sorely
    -0.67
     Luckily
    -0.63
     Worse
    -0.62
     Tut
    -0.62
     dim
    -0.60
     notoriously
    -0.60
     Cortex
    -0.60
     Worst
    -0.57
     badly
    -0.57
     answ
    -0.57
    POSITIVE LOGITS
    pack
    1.13
    ascript
    1.00
    raft
    0.90
    Pack
    0.86
    pipe
    0.86
    sylvania
    0.84
    rats
    0.84
    hee
    0.81
    ratulations
    0.81
    aging
    0.81
    Activations Density 0.020%

    No Known Activations