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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. 2426
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    oai_token-act-pair · gpt-3.5-turbo

    question marks indicating interrogative sentences or queries

    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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    No Comments

    Negative Logits
     glim
    -0.89
    apers
    -0.73
    aper
    -0.73
     marsh
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     worm
    -0.70
     worms
    -0.69
     slam
    -0.67
     ankles
    -0.67
     crabs
    -0.67
     encount
    -0.66
    POSITIVE LOGITS
    .?
    0.94
     Interest
    0.85
     Probably
    0.85
    crop
    0.84
     Nope
    0.84
     Surely
    0.82
     Why
    0.79
     Huh
    0.79
     Really
    0.78
     Yep
    0.78
    Activations Density 0.102%

    No Known Activations