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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. 22843
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    INDEX
    Explanations

    terms related to the brand "Motorola"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific smartphone models, particularly from the Motorola brand

    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
    iday
    -0.78
     Kling
    -0.76
    umbn
    -0.75
    elaide
    -0.72
     Ramsay
    -0.71
    iting
    -0.70
    razil
    -0.69
    lishes
    -0.69
    nels
    -0.69
    imental
    -0.69
    POSITIVE LOGITS
    GP
    0.97
     Moto
    0.91
     Maker
    0.83
     Mobility
    0.82
     Mods
    0.80
    itsu
    0.77
    cycle
    0.76
    ī
    0.72
     contrace
    0.72
    wake
    0.72
    Activations Density 0.014%

    No Known Activations