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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. 5320
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    Explanations

    people's names, possibly with mentioning of images or photos

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names associated with individuals or specific concepts

    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
    gie
    -0.77
    AIN
    -0.72
     dodge
    -0.72
    DEV
    -0.72
     Garry
    -0.72
     donkey
    -0.72
     shepherd
    -0.70
     boycott
    -0.69
     Rover
    -0.69
     Shepherd
    -0.68
    POSITIVE LOGITS
    Magn
    0.84
    oms
    0.78
    »
    0.77
     Tens
    0.77
    ensation
    0.77
    ucle
    0.77
    hematic
    0.76
    phal
    0.75
    idth
    0.75
     Flor
    0.74
    Activations Density 0.340%

    No Known Activations