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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. 1-RES-JB
    11. 11278
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names, which are frequently mentioned in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acca
    -0.76
    MER
    -0.72
    merce
    -0.71
    KK
    -0.71
    ported
    -0.70
    reality
    -0.69
    KT
    -0.68
    awar
    -0.67
    ibling
    -0.67
    KS
    -0.67
    POSITIVE LOGITS
     Clement
    1.04
    enary
    0.82
     Corinthians
    0.79
    otle
    0.78
    icle
    0.78
    ote
    0.74
    icles
    0.74
    reet
    0.73
    angelo
    0.72
    hetti
    0.72
    Activations Density 0.007%

    No Known Activations