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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

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and locations

    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
    ĸļ
    -0.92
    gling
    -0.90
    gdala
    -0.83
    Reviewer
    -0.83
    iseum
    -0.80
    enium
    -0.77
    ership
    -0.76
    alg
    -0.75
    raltar
    -0.73
    cling
    -0.73
    POSITIVE LOGITS
     Kush
    0.82
     Mazda
    0.74
     Slovakia
    0.70
     Zam
    0.69
     Oro
    0.65
     Vacc
    0.65
     Zar
    0.65
     Lum
    0.65
     Siem
    0.64
    -----
    0.64
    Activations Density 0.025%

    No Known Activations