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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. 7-RES-JB
    6. 16818
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    Explanations

    ISO standards or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to ISO standards and certifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    lain
    -1.05
    hips
    -0.99
    taboola
    -0.96
    bones
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    ees
    -0.92
    bone
    -0.91
    oran
    -0.90
    eez
    -0.87
    rill
    -0.87
    sbm
    -0.86
    POSITIVE LOGITS
    ISO
    0.89
     ISO
    0.81
     Vie
    0.75
    Hunt
    0.70
     Protocol
    0.69
    flation
    0.68
    iso
    0.67
    FT
    0.66
    acci
    0.65
     tuna
    0.65
    Activations Density 0.044%

    No Known Activations