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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. 1-RES-JB
    11. 7309
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    Explanations

    words related to a specific location, specifically "Edinburgh"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the city of Edinburgh

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asta
    -0.73
    alez
    -0.71
    href
    -0.68
    onies
    -0.67
    elcome
    -0.67
    haar
    -0.66
    rahim
    -0.66
    berman
    -0.65
    planes
    -0.64
    awaru
    -0.64
    POSITIVE LOGITS
     Edinburgh
    1.14
    inburgh
    0.99
     Glasgow
    0.84
     SPL
    0.81
     Rite
    0.77
     Yard
    0.77
     Aberdeen
    0.74
    gow
    0.72
    sburg
    0.70
    mouth
    0.70
    Activations Density 0.005%

    No Known Activations