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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. 11-RES-JB
    11. 12124
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    Explanations

    references to tablet devices

    oai_token-act-pair · gpt-3.5-turbo

    references to tablets and related devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    enez
    -0.81
    anchester
    -0.78
    kell
    -0.75
    vernment
    -0.72
    ements
    -0.70
     Vald
    -0.69
     Adin
    -0.68
     Hend
    -0.68
    inventoryQuantity
    -0.68
     Burnett
    -0.68
    POSITIVE LOGITS
     tablet
    0.98
     Tablet
    0.93
     charger
    0.90
     Mini
    0.89
     retina
    0.85
     dock
    0.85
     mini
    0.85
    izen
    0.82
     laptop
    0.80
     tablets
    0.80
    Activations Density 0.044%

    No Known Activations