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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. 10-RES-JB
    11. 21571
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to living organisms and biological terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    maxwell
    -0.71
     Whale
    -0.67
     Winston
    -0.66
    Kansas
    -0.61
     Bucks
    -0.59
     Lynn
    -0.59
     Straw
    -0.59
     DPR
    -0.58
     Bees
    -0.57
     Savannah
    -0.57
    POSITIVE LOGITS
    nels
    1.28
    acion
    1.26
    nel
    1.26
    és
    1.20
    ement
    1.18
    aci
    1.18
    ez
    1.15
    idad
    1.15
    antes
    1.13
    itud
    1.08
    Activations Density 0.150%

    No Known Activations