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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to the country of France

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the country France

    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
    iary
    -0.87
    iating
    -0.80
    âĹ¼
    -0.79
    regor
    -0.78
    sbm
    -0.77
    atari
    -0.76
    iated
    -0.76
    iations
    -0.74
    ript
    -0.73
    iates
    -0.73
    POSITIVE LOGITS
     Alps
    0.88
     Riv
    0.81
     Hollande
    0.78
     France
    0.78
     fries
    0.76
     countryside
    0.73
    ois
    0.73
     Marse
    0.73
     Mé
    0.72
     Connection
    0.72
    Activations Density 0.017%

    No Known Activations