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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. 7-RES-JB
    6. 10801
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    INDEX
    Explanations

    phrases related to news headlines or important events

    oai_token-act-pair · gpt-3.5-turbo

    repetitive calls to action for replaying content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pora
    -0.73
    zbek
    -0.72
    kers
    -0.71
    EStreamFrame
    -0.71
    krit
    -0.70
    bara
    -0.68
    ocene
    -0.66
    ksh
    -0.65
     sucker
    -0.64
    esan
    -0.63
    POSITIVE LOGITS
     Replay
    0.93
     WATCHED
    0.77
    lements
    0.73
    INGS
    0.73
     Thumbnails
    0.73
    iece
    0.71
    Ħ¢
    0.68
    artz
    0.68
     Videos
    0.67
    actions
    0.66
    Activations Density 0.011%

    No Known Activations