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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. 9983
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    Explanations

    mentions of do-it-yourself (DIY) activities

    oai_token-act-pair · gpt-3.5-turbo

    references to DIY (do-it-yourself) culture and activities

    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
    ority
    -0.89
    istics
    -0.86
    nesota
    -0.84
     Archdemon
    -0.81
    itia
    -0.76
     Osw
    -0.74
    alties
    -0.74
     Ambrose
    -0.74
    inates
    -0.71
    bourne
    -0.71
    POSITIVE LOGITS
     DIY
    0.89
    IED
    0.84
     calcul
    0.83
    HY
    0.77
    LV
    0.77
     hobby
    0.73
    URN
    0.73
    DI
    0.73
    ModLoader
    0.71
    Materials
    0.70
    Activations Density 0.008%

    No Known Activations