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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. 6704
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    Explanations

    mentions of various cities and institutions

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of places and organizations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    toggle
    -0.81
    aminer
    -0.79
    adena
    -0.76
    pour
    -0.75
    thia
    -0.75
    Ô
    -0.72
    zona
    -0.71
    Enlarge
    -0.69
    vana
    -0.69
    inventoryQuantity
    -0.69
    POSITIVE LOGITS
    shire
    1.48
     Borough
    1.35
     City
    1.09
     Town
    1.08
     County
    1.08
     Cathedral
    1.03
     Crown
    1.00
     Telegraph
    0.99
     Labour
    0.99
    hire
    0.98
    Activations Density 0.114%

    No Known Activations