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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. 4-RES-JB
    6. 23007
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    INDEX
    Explanations

    words related to awakening or becoming alert

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles associated with various actions and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     torn
    -0.72
     atro
    -0.65
     thor
    -0.63
     tears
    -0.61
     bul
    -0.60
     lucky
    -0.59
     Weasley
    -0.58
     riot
    -0.58
     hungry
    -0.58
     nozzle
    -0.58
    POSITIVE LOGITS
    olate
    0.93
    akes
    0.92
    ESE
    0.85
    ernel
    0.79
    umar
    0.78
    DOM
    0.77
    VID
    0.77
    arta
    0.76
    hran
    0.76
    velop
    0.75
    Activations Density 0.012%

    No Known Activations