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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. 3780
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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
    ynski
    -0.85
    Ħ¢
    -0.75
    otos
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    sburg
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     Pens
    -0.72
    issance
    -0.68
    ZI
    -0.66
    emale
    -0.66
    ¬¼
    -0.64
    brance
    -0.64
    POSITIVE LOGITS
    edin
    1.28
    later
    1.01
    link
    1.00
    ages
    0.98
     links
    0.94
    chain
    0.92
     link
    0.91
     linking
    0.84
    links
    0.80
     connecting
    0.79
    Activations Density 0.029%

    No Known Activations