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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. 18746
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    Explanations

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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 @ 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
    ĪĴ
    -0.66
    ĨĴ
    -0.64
    obyl
    -0.64
    chant
    -0.64
    vic
    -0.64
    terness
    -0.63
    omaly
    -0.63
    Doctor
    -0.62
    lime
    -0.61
    ploma
    -0.60
    POSITIVE LOGITS
     fundra
    1.26
     fundraising
    1.22
     fundraiser
    1.10
    raising
    0.99
     donations
    0.96
     dinners
    0.94
     donors
    0.87
     campaigns
    0.86
    isers
    0.85
     campaign
    0.82
    Activations Density 0.045%

    No Known Activations