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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. 3-RES-JB
    6. 13763
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    Explanations

    phrases related to rates or measurements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of statistical rates or measurements related to various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.80
    KK
    -0.77
     Cosponsors
    -0.76
    ctuary
    -0.76
    ittees
    -0.71
     istg
    -0.70
    jad
    -0.69
    few
    -0.68
    ulla
    -0.66
    arna
    -0.66
    POSITIVE LOGITS
     course
    0.80
     interest
    0.80
    efficiency
    0.76
     measurement
    0.75
     maturity
    0.75
     parity
    0.74
     income
    0.71
     importance
    0.71
     sorts
    0.70
     allowable
    0.70
    Activations Density 0.402%

    No Known Activations