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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. 16379
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    INDEX
    Explanations

    mentions of being informed or knowledgeable about certain information

    oai_token-act-pair · gpt-3.5-turbo

    references to awareness or knowledge of particular situations or facts

    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
    Textures
    -0.64
    amen
    -0.63
    cell
    -0.63
    wrap
    -0.63
     Warriors
    -0.62
    irrel
    -0.61
    nic
    -0.60
     averages
    -0.59
    avored
    -0.59
    pen
    -0.59
    POSITIVE LOGITS
    ledged
    1.22
     Lauder
    0.88
    ledge
    0.82
    ness
    0.79
     Aware
    0.78
     aware
    0.77
    isance
    0.74
    itaire
    0.74
     Dragonbound
    0.73
    eering
    0.73
    Activations Density 0.026%

    No Known Activations