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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. 7-RES-JB
    11. 17957
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    Explanations

    words related to specific locations, with a strong emphasis on "Jerusalem."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Jerusalem

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonium
    -0.86
    lass
    -0.79
    ãģ¦
    -0.79
     Jackets
    -0.77
    ority
    -0.75
    apple
    -0.72
    iveness
    -0.69
    leneck
    -0.69
    istration
    -0.69
    iago
    -0.68
    POSITIVE LOGITS
    usalem
    1.06
     Jerusalem
    0.91
     Municip
    0.82
    ites
    0.77
     municipality
    0.76
     correspondent
    0.74
     City
    0.74
     Authority
    0.74
     Galile
    0.70
     Pradesh
    0.70
    Activations Density 0.016%

    No Known Activations