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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. 11-RES-JB
    6. 22570
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    INDEX
    Explanations

    sentences with declarations or statements of truth

    oai_token-act-pair · gpt-3.5-turbo

    statements affirming a particular truth or reality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stad
    -0.75
    assetsadobe
    -0.74
    rador
    -0.71
    eor
    -0.65
    iterranean
    -0.62
    andise
    -0.62
    inventoryQuantity
    -0.60
    throp
    -0.60
    allic
    -0.59
    effic
    -0.59
    POSITIVE LOGITS
     that
    1.09
     THAT
    0.98
    that
    0.77
     nobody
    0.77
     undeniable
    0.73
     none
    0.72
     simple
    0.71
    ,
    0.70
    adays
    0.70
     we
    0.70
    Activations Density 0.084%

    No Known Activations