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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. 7-RES-JB
    6. 9564
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    INDEX
    Explanations

    terms related to measuring instruments, particularly gauges

    oai_token-act-pair · gpt-3.5-turbo

    references to measurement or assessment tools, particularly those related to gauging quality or performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.85
    urous
    -0.82
    rophic
    -0.78
    arily
    -0.77
    emort
    -0.77
    æĸ¹
    -0.75
    urrent
    -0.74
    ulent
    -0.73
    uring
    -0.72
    rophe
    -0.72
    POSITIVE LOGITS
     gauge
    1.01
     gau
    0.93
     needle
    0.84
     needles
    0.77
     Pens
    0.76
    cised
    0.72
     stations
    0.72
     pens
    0.71
     refill
    0.70
     readings
    0.70
    Activations Density 0.073%

    No Known Activations