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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. 3-RES-JB
    6. 20871
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    INDEX
    Explanations

    optional features or settings within a system or product

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "optional" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Building
    -0.82
    abal
    -0.78
    BW
    -0.78
    masters
    -0.77
    ells
    -0.76
    eming
    -0.75
    flies
    -0.74
    encers
    -0.73
    Swe
    -0.73
    master
    -0.73
    POSITIVE LOGITS
     extras
    0.97
     optional
    0.86
     accessory
    0.85
     supplemental
    0.81
     extra
    0.80
     accessories
    0.79
     compulsory
    0.77
     panels
    0.77
     captcha
    0.77
     intermedi
    0.75
    Activations Density 0.013%

    No Known Activations