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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 480
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    Explanations

    technical specifications in a product description

    oai_token-act-pair · gpt-3.5-turbo

    specific technical features and specifications of cameras and electronic devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Leaks
    -0.73
    ModLoader
    -0.73
    inventoryQuantity
    -0.73
    ãģĦ
    -0.70
    untarily
    -0.67
    ãĥ©ãĥ³
    -0.67
    uld
    -0.66
    tnc
    -0.66
    DIT
    -0.64
    idate
    -0.63
    POSITIVE LOGITS
     flanked
    0.92
     consisting
    0.89
     featuring
    0.88
     dotted
    0.83
     boasting
    0.82
     plus
    0.80
     spons
    0.79
     reminiscent
    0.78
     protr
    0.78
     adorned
    0.77
    Activations Density 0.437%

    No Known Activations