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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. 11971
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    INDEX
    Explanations

    references to the audience or viewers of a program

    oai_token-act-pair · gpt-3.5-turbo

    references to audience viewership statistics

    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
     Bain
    -0.66
    mine
    -0.66
    ulic
    -0.64
     contingency
    -0.63
     Bicycle
    -0.63
     Surgery
    -0.61
     Scrib
    -0.61
     Shotgun
    -0.61
     Bust
    -0.60
     Plum
    -0.60
    POSITIVE LOGITS
     tuned
    0.97
     viewers
    0.93
     viewership
    0.86
     tuning
    0.81
     wat
    0.76
     viewing
    0.76
     Ratings
    0.74
    akens
    0.74
     watching
    0.74
     feeds
    0.73
    Activations Density 0.028%

    No Known Activations