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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. 8-RES-JB
    6. 22146
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    Explanations

    proper names of people or possibly locations, as well as locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names and surnames

    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
    represented
    -0.75
    patient
    -0.73
    Fed
    -0.69
    âĵĺ
    -0.65
    posed
    -0.64
    stood
    -0.59
    ataka
    -0.59
     stubborn
    -0.58
    abol
    -0.58
    CLAIM
    -0.58
    POSITIVE LOGITS
     IMAGES
    1.05
     (@
    1.02
     Photography
    1.01
     Jr
    0.97
     Random
    0.96
     via
    0.88
     /
    0.88
     Courtesy
    0.87
    baum
    0.83
     Sr
    0.81
    Activations Density 0.126%

    No Known Activations