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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. 4527
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    Explanations

    patterns related to controlled temperature or environmental conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and control systems

    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
     Cosponsors
    -0.77
    uay
    -0.73
     acad
    -0.64
    itte
    -0.62
    querque
    -0.61
    ById
    -0.59
    ĪĴ
    -0.57
    ij士
    -0.57
    Ku
    -0.57
    RIPT
    -0.56
    POSITIVE LOGITS
     submer
    0.68
     pulses
    0.64
     shortest
    0.63
     ceiling
    0.62
     sampling
    0.62
     measured
    0.62
     estimation
    0.62
     fluct
    0.61
     attained
    0.61
     cutoff
    0.60
    Activations Density 1.050%

    No Known Activations