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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. 5-RES-JB
    6. 3428
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    Explanations

    references to European entities and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to European entities or organizations, particularly in a scientific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venge
    -0.85
    vana
    -0.85
    ihad
    -0.81
    oldemort
    -0.78
    abilia
    -0.78
    temp
    -0.77
    enfranch
    -0.76
    anamo
    -0.74
    thia
    -0.74
    inventoryQuantity
    -0.73
    POSITIVE LOGITS
     Scientific
    0.99
     Geological
    0.92
     FDA
    0.86
     National
    0.85
     laboratory
    0.85
     Environmental
    0.85
     researchers
    0.84
     scientists
    0.84
     Institute
    0.83
     EPA
    0.82
    Activations Density 0.333%

    No Known Activations