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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. 1-RES-JB
    6. 13608
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    Explanations

    the word "editor"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of editors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    achi
    -0.80
    rises
    -0.75
    pered
    -0.74
    ulus
    -0.74
    ramid
    -0.73
    wn
    -0.71
    alsa
    -0.69
    ptoms
    -0.67
    si
    -0.67
    ffff
    -0.66
    POSITIVE LOGITS
    editor
    1.14
     editor
    1.09
     Editor
    0.87
    ials
    0.83
    ially
    0.81
     Editors
    0.76
     editing
    0.75
     editors
    0.74
     drawer
    0.74
     pane
    0.73
    Activations Density 0.011%

    No Known Activations