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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. 5350
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    INDEX
    Explanations

    people's names or surnames

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals or proper nouns

    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
     antim
    -0.69
     Presidents
    -0.69
     regulators
    -0.67
     campaigners
    -0.66
     entail
    -0.66
     populace
    -0.65
     consumers
    -0.63
     trillion
    -0.63
     lawmakers
    -0.63
     taxation
    -0.62
    POSITIVE LOGITS
    cki
    1.52
    owski
    1.45
    baum
    1.40
    iewicz
    1.39
    zzi
    1.37
    chuk
    1.35
    ansky
    1.33
    inski
    1.32
    owicz
    1.30
    bach
    1.29
    Activations Density 0.317%

    No Known Activations