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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. 4-RES-JB
    11. 7582
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    Explanations

    locations or place names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations, particularly cities and their relation to events or contexts

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

    No Comments

    Negative Logits
    haar
    -0.91
    enegger
    -0.82
    eal
    -0.77
    ographed
    -0.73
    Mach
    -0.68
    alez
    -0.67
    rained
    -0.66
    orter
    -0.65
    venge
    -0.64
    ternity
    -0.64
    POSITIVE LOGITS
     City
    0.97
     Yard
    0.91
     Harbour
    0.91
     Swansea
    0.89
     Borough
    0.85
     Harbor
    0.85
     harbour
    0.85
    sburg
    0.81
     Township
    0.79
    shire
    0.77
    Activations Density 0.014%

    No Known Activations