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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. 16100
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    Explanations

    references to flowers

    oai_token-act-pair · gpt-3.5-turbo

    references to flowers

    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
    nesota
    -0.76
    gregation
    -0.75
     unden
    -0.75
    lde
    -0.70
    Þ
    -0.66
    ulhu
    -0.64
    ormons
    -0.64
    resy
    -0.63
     Rapp
    -0.63
    redit
    -0.62
    POSITIVE LOGITS
     bloom
    1.02
    pots
    1.02
     arranging
    0.97
     buds
    0.97
     blo
    0.96
     flowers
    0.92
    flower
    0.90
     gardens
    0.88
    fruit
    0.85
     Gardens
    0.85
    Activations Density 0.038%

    No Known Activations