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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. 2-RES-JB
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    Explanations

    locations in Ontario, Canada

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãģĦ
    -1.00
     [+
    -0.80
    ãĥ¼ãĥĨ
    -0.78
    ãĥ¬
    -0.75
    ãĤ¼ãĤ¦ãĤ¹
    -0.73
    ãĤ§
    -0.72
    ãĥķ
    -0.71
    CVE
    -0.68
    ãģį
    -0.68
    ãĥį
    -0.67
    POSITIVE LOGITS
    ario
    1.25
     Ont
    1.05
    arios
    0.96
    rack
    0.94
    omach
    0.93
    ologically
    0.91
     ont
    0.90
    omet
    0.90
    Ont
    0.88
    acan
    0.88
    Activations Density 0.007%

    No Known Activations