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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. 10-RES-JB
    11. 5567
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    Explanations

    mentions of specific universities, especially the University of Texas at Austin

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the University of Texas system and its campuses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Äĩ
    -1.11
    ø
    -1.08
     Polish
    -1.05
    ÅĤ
    -1.04
     Lithuan
    -1.03
     Lithuania
    -1.02
    chwitz
    -0.96
     Ukrainians
    -0.96
     Piet
    -0.96
     Poles
    -0.96
    POSITIVE LOGITS
     Texas
    2.30
    Texas
    2.23
     Texans
    2.07
    Houston
    2.03
     Houston
    2.03
     TX
    1.99
    Tex
    1.88
     Tex
    1.87
     Austin
    1.81
    TX
    1.79
    Activations Density 0.416%

    No Known Activations