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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. 7-RES-JB
    11. 13898
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ne
    -0.76
    ndra
    -0.74
    mine
    -0.74
    aved
    -0.72
    nee
    -0.72
    Ale
    -0.71
    chron
    -0.68
    Gh
    -0.68
    areth
    -0.67
    afi
    -0.67
    POSITIVE LOGITS
     balloon
    0.98
     balloons
    0.92
     inflated
    0.84
     sacks
    0.83
     helium
    0.82
     caric
    0.74
    bean
    0.73
    gie
    0.70
     sack
    0.70
     Niagara
    0.69
    Activations Density 0.054%

    No Known Activations