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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. 4-RES-JB
    6. 12857
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    INDEX
    Explanations

    words related to measurement devices, specifically 'ometer'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of measuring devices

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

    No Comments

    Negative Logits
    lez
    -0.77
    giving
    -0.71
    ership
    -0.69
     ABE
    -0.68
    ggies
    -0.68
     Kut
    -0.67
    edu
    -0.67
    don
    -0.65
    clus
    -0.64
    ãģį
    -0.63
    POSITIVE LOGITS
    ometer
    0.85
     calibration
    0.78
     measuring
    0.77
     readings
    0.75
    ium
    0.74
     calibrated
    0.72
    apter
    0.70
     buoy
    0.70
     tampering
    0.69
     malfunction
    0.69
    Activations Density 0.029%

    No Known Activations