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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. 9-RES-JB
    11. 3095
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inventoryQuantity
    -0.94
    externalActionCode
    -0.91
    agate
    -0.81
    itol
    -0.80
    phrine
    -0.78
    interstitial
    -0.78
    cffff
    -0.77
     opio
    -0.76
    ItemThumbnailImage
    -0.75
    bia
    -0.75
    POSITIVE LOGITS
     Christopher
    1.03
     Kathryn
    1.02
     Zack
    1.01
     Emmy
    0.99
     Kristen
    0.99
     Geoff
    0.96
     Jonathan
    0.96
     Trey
    0.95
     Gareth
    0.95
     Loren
    0.95
    Activations Density 0.077%

    No Known Activations