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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. 10-RES-JB
    6. 19969
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    INDEX
    Explanations

    names or proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Þ
    -1.07
     eleph
    -1.06
     exting
    -0.94
    ModLoader
    -0.86
     pione
    -0.83
    ò
    -0.83
    ß
    -0.82
     proport
    -0.82
     conflic
    -0.81
     tremend
    -0.81
    POSITIVE LOGITS
    aney
    0.87
    inar
    0.79
    arson
    0.78
    evin
    0.78
    zinski
    0.77
    ellig
    0.76
    iott
    0.76
     said
    0.75
    arkin
    0.75
    artz
    0.75
    Activations Density 0.188%

    No Known Activations