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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. 3246
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    INDEX
    Explanations

    phrases related to sleep, rest, and bedtime

    oai_token-act-pair · gpt-3.5-turbo

    themes related to bedtime routines and justice-related concepts

    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
     Thousand
    -0.61
     distinguished
    -0.59
     Prim
    -0.58
    oS
    -0.57
     caveats
    -0.55
    uci
    -0.55
     penet
    -0.54
     Origin
    -0.54
    eros
    -0.54
    pread
    -0.53
    POSITIVE LOGITS
    displayText
    0.79
    OHN
    0.75
     coffers
    0.72
    ulkan
    0.72
    士
    0.70
    ilee
    0.68
    ALSE
    0.65
    axter
    0.64
    hur
    0.64
    meier
    0.64
    Activations Density 0.132%

    No Known Activations