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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. 6-RES-JB
    11. 217
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    Explanations

    mentions or references to readers of a blog or publication

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "readers"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Pharma
    -0.70
     Romo
    -0.64
     Skull
    -0.63
     Guan
    -0.63
     Sharia
    -0.62
     Bain
    -0.62
     Spa
    -0.61
     WCS
    -0.60
     Vulcan
    -0.60
     Sabb
    -0.58
    POSITIVE LOGITS
    hip
    1.67
    hips
    1.14
    pace
    0.95
    uggest
    0.93
    20439
    0.91
    DragonMagazine
    0.87
    iences
    0.85
     reader
    0.85
    boys
    0.85
    boy
    0.84
    Activations Density 0.024%

    No Known Activations