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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. 5-RES-JB
    6. 7236
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    INDEX
    Explanations

    references to movie premieres

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "premiere"

    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
    nuts
    -0.82
    ila
    -0.70
    agh
    -0.70
    urat
    -0.67
    hematically
    -0.67
    ateg
    -0.66
    akia
    -0.65
     Cogn
    -0.65
    bath
    -0.64
    blank
    -0.64
    POSITIVE LOGITS
     premiere
    1.08
     screening
    0.94
     airing
    0.91
     episode
    0.89
     premie
    0.86
     Premiere
    0.85
     screenings
    0.85
     reel
    0.83
     premier
    0.80
     Episode
    0.79
    Activations Density 0.011%

    No Known Activations