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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. 10-RES-JB
    11. 12577
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    Explanations

    mentions of specific places and events related to a particular individual

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and locations associated with ranching

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Notting
    -1.14
    London
    -1.00
    Labour
    -0.98
    sei
    -0.96
     councillors
    -0.94
    umbai
    -0.93
    adiq
    -0.91
     âĤ¬
    -0.90
    Brexit
    -0.89
     TTC
    -0.87
    POSITIVE LOGITS
     Idaho
    1.83
     Colorado
    1.78
    Colorado
    1.75
     Wyoming
    1.74
     Montana
    1.72
     Nevada
    1.72
     Oregon
    1.67
     Arizona
    1.66
     Navajo
    1.64
    Arizona
    1.62
    Activations Density 0.650%

    No Known Activations