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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20001
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    Explanations

    names of individuals, especially Laurence

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals with the name "Laurence" and variations, as well as mentions of laureates and awards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icago
    -0.79
    DEM
    -0.71
    INESS
    -0.70
    WD
    -0.69
    ORT
    -0.67
    imation
    -0.67
    ractical
    -0.65
     rink
    -0.63
     interfering
    -0.63
     Panic
    -0.62
    POSITIVE LOGITS
    nce
    1.29
    nces
    1.08
     Laure
    0.92
     laure
    0.89
    ls
    0.88
    ance
    0.85
    nda
    0.83
    ¨
    0.83
    ira
    0.81
    ates
    0.79
    Activations Density 0.038%

    No Known Activations