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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. 7400
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    Explanations

    mentions of locations or organizations in Ontario, Canada

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the province of Ontario

    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
     Bunny
    -0.73
    ãģĦ
    -0.70
     mileage
    -0.67
    crow
    -0.66
    ãĥ¼ãĥĨ
    -0.64
     Assass
    -0.63
     Eclipse
    -0.63
    ptives
    -0.63
    BILITIES
    -0.63
    schild
    -0.62
    POSITIVE LOGITS
    ario
    1.30
    ological
    0.99
    rack
    0.97
    arios
    0.95
    arians
    0.94
    ogen
    0.90
    ology
    0.89
    reon
    0.88
    ologies
    0.86
    oreal
    0.85
    Activations Density 0.031%

    No Known Activations