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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. 3677
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    INDEX
    Explanations

    numerical values separated by commas, potentially indicating ratings or quantities

    oai_token-act-pair · gpt-3.5-turbo

    numeric identifiers or votes associated with a dataset

    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
    ened
    -0.73
    atre
    -0.71
    cohol
    -0.71
    uscript
    -0.71
    phone
    -0.70
    stract
    -0.70
     Examiner
    -0.68
    bear
    -0.68
    aged
    -0.67
    fet
    -0.67
    POSITIVE LOGITS
    803
    0.92
    wcsstore
    0.79
    384
    0.77
    6666
    0.76
    uously
    0.75
     msec
    0.72
    mph
    0.71
    UTF
    0.71
    lbs
    0.70
     pounds
    0.68
    Activations Density 0.032%

    No Known Activations