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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 8413
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual or entity, particularly in contexts relating to media or law enforcement

    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
    rity
    -0.73
     AQ
    -0.71
     Views
    -0.66
     Euph
    -0.65
    ortion
    -0.64
    lished
    -0.64
    kward
    -0.64
    ansas
    -0.63
    awaru
    -0.63
    ADRA
    -0.63
    POSITIVE LOGITS
    eman
    1.06
    ergic
    0.96
    lin
    0.89
    emen
    0.89
    quin
    0.88
    zer
    0.87
    endon
    0.82
    etooth
    0.82
     Rouge
    0.81
    hurst
    0.80
    Activations Density 0.009%

    No Known Activations