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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. 842
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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 @ 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
    ãĥ¼ãĥĨ
    -0.81
     pse
    -0.69
    DAQ
    -0.65
     behavi
    -0.65
     challeng
    -0.64
     Leilan
    -0.64
     citiz
    -0.62
    illary
    -0.62
     veter
    -0.61
     Vaugh
    -0.60
    POSITIVE LOGITS
    \":
    0.88
    DragonMagazine
    0.66
    ás
    0.64
     Shin
    0.60
     Mush
    0.60
     Reincarn
    0.59
    âĺĨ
    0.59
    ESSION
    0.59
     Ending
    0.58
    âĪ
    0.57
    Activations Density 0.112%

    No Known Activations