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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. 3344
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    INDEX
    Explanations

    phrases expressing comparisons or preferences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating improvement or betterment

    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
    igham
    -0.82
    quin
    -0.68
    atan
    -0.61
     unpop
    -0.59
     scissors
    -0.56
    mod
    -0.56
    Cont
    -0.55
     Command
    -0.55
    itars
    -0.55
    ADD
    -0.55
    POSITIVE LOGITS
    than
    1.17
     than
    1.15
     Than
    1.05
     chances
    0.77
     outcomes
    0.69
    aroo
    0.66
     spelling
    0.62
     Recon
    0.62
    oldemort
    0.61
    iate
    0.61
    Activations Density 0.155%

    No Known Activations