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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. 6355
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    oai_token-act-pair · gpt-3.5-turbo

    questions that are presented in the text

    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
     marsh
    -0.75
     glim
    -0.74
     encount
    -0.72
    aper
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     ankles
    -0.69
    athe
    -0.67
     jelly
    -0.67
     slam
    -0.67
     worm
    -0.67
     soap
    -0.67
    POSITIVE LOGITS
     Nope
    0.98
    .?
    0.98
     Surely
    0.92
     Probably
    0.90
     Surprisingly
    0.88
    ����
    0.88
     Why
    0.87
     Huh
    0.86
     Wouldn
    0.85
     Seems
    0.84
    Activations Density 0.121%

    No Known Activations