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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. 6-RES-JB
    6. 13256
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    INDEX
    Explanations

    keywords related to the concept of understanding or comprehension

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "understand" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onies
    -0.80
    onto
    -0.68
     acquitted
    -0.67
    drops
    -0.64
    ammy
    -0.63
    pload
    -0.62
     notor
    -0.62
     stunt
    -0.60
     bounced
    -0.59
     regist
    -0.59
    POSITIVE LOGITS
     WHY
    0.98
     why
    0.93
    ably
    0.91
     how
    0.88
     Understanding
    0.87
     Understand
    0.82
    ances
    0.80
     understanding
    0.79
    ¿½
    0.77
    why
    0.76
    Activations Density 0.042%

    No Known Activations