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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. 10033
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    INDEX
    Explanations

    names of individuals or entities, particularly focusing on the name "Pere"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Pere" and related terms in legal contexts

    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
    Beck
    -0.81
     sockets
    -0.70
    coat
    -0.70
    DOWN
    -0.70
    AMES
    -0.69
    thumbnails
    -0.69
    ysis
    -0.67
    IGHTS
    -0.65
     socket
    -0.64
    ORGE
    -0.62
    POSITIVE LOGITS
     Pere
    1.07
    tti
    1.02
    ments
    0.92
    agin
    0.91
    folios
    0.89
    ledged
    0.84
    fw
    0.81
     Pengu
    0.81
    tsky
    0.78
    agle
    0.78
    Activations Density 0.038%

    No Known Activations