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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. 8-RES-JB
    6. 15500
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    INDEX
    Explanations

    prepositions indicating location or direction

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a notable status or rank among multiple entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    getic
    -0.65
    zeb
    -0.63
     lapt
    -0.60
    gee
    -0.59
     prol
    -0.58
    iture
    -0.57
    culosis
    -0.55
    hya
    -0.54
    desktop
    -0.53
     Provided
    -0.53
    POSITIVE LOGITS
    those
    0.72
     those
    0.72
     many
    0.70
     few
    0.66
    apest
    0.65
    few
    0.64
    icial
    0.64
    ãĤ¨
    0.64
    arching
    0.64
    abet
    0.63
    Activations Density 0.073%

    No Known Activations