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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. 0-RES-JB
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    Explanations

    mentions of the geographical location "Quebec"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Quebec

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ae
    -0.68
    WARE
    -0.67
    amine
    -0.63
     OD
    -0.63
     mech
    -0.62
    ogen
    -0.62
    EE
    -0.61
     Jae
    -0.61
     Kore
    -0.60
    mire
    -0.60
    POSITIVE LOGITS
     Quebec
    3.78
     Qué
    3.13
     Montreal
    2.39
     Manitoba
    2.26
     Saskatchewan
    2.18
     Ontario
    2.14
     Alberta
    2.10
     Newfoundland
    2.04
     Ottawa
    1.91
     Canadians
    1.85
    Activations Density 0.016%

    No Known Activations