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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. 3841
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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 @ 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
    azo
    -0.89
    BuyableInstoreAndOnline
    -0.73
    abase
    -0.65
    colo
    -0.63
    anca
    -0.62
    iane
    -0.62
    ATA
    -0.61
    doms
    -0.61
    pmwiki
    -0.61
    pair
    -0.60
    POSITIVE LOGITS
    wards
    0.87
    olicy
    0.84
    WARD
    0.82
     unim
    0.75
     unch
    0.73
     momentum
    0.73
     progress
    0.73
     progressing
    0.72
    uberty
    0.71
     timelines
    0.71
    Activations Density 0.032%

    No Known Activations