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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 6282
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    INDEX
    Explanations

    marketing-related phrases related to watching content and visiting websites

    oai_token-act-pair · gpt-3.5-turbo

    phrases of gratitude or acknowledgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.72
    alties
    -0.68
     Meaning
    -0.63
    psy
    -0.62
     mathemat
    -0.61
    onse
    -0.59
     mutually
    -0.59
    é¾įåĸļ士
    -0.59
    anism
    -0.57
    ESA
    -0.57
    POSITIVE LOGITS
    ijah
    0.86
     watching
    0.75
    aughs
    0.68
     WATCH
    0.67
     Watching
    0.66
    mire
    0.64
     viewer
    0.63
    umbnails
    0.63
    iked
    0.62
     PLAY
    0.61
    Activations Density 0.027%

    No Known Activations