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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3285
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    Explanations

    mentions of the province of Ontario

    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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bler
    -0.90
    riz
    -0.85
    ãĥķ
    -0.85
    ãĤ·ãĥ£
    -0.83
    enance
    -0.82
    gers
    -0.81
    letcher
    -0.81
    ãĤ©
    -0.81
    iesta
    -0.79
    cies
    -0.79
    POSITIVE LOGITS
     Provincial
    0.98
     Superior
    0.82
     Heights
    0.81
     Ontario
    0.76
     Centre
    0.72
     Canada
    0.71
     conferred
    0.70
     Universities
    0.69
     Hydro
    0.69
     Pradesh
    0.68
    Activations Density 0.017%

    No Known Activations