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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 23893
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    INDEX
    Explanations

    words related to deep or thorough comprehension or knowledge

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onies
    -0.86
    corn
    -0.67
    quer
    -0.66
     piling
    -0.66
    nar
    -0.64
    yss
    -0.63
     notor
    -0.62
    photos
    -0.62
     sled
    -0.61
    compan
    -0.61
    POSITIVE LOGITS
     Understanding
    0.95
    ually
    0.88
     understanding
    0.87
    ably
    0.85
     Understand
    0.85
     comprehension
    0.82
     Sakuya
    0.76
     WHY
    0.75
    Understanding
    0.75
     HOW
    0.73
    Activations Density 0.020%

    No Known Activations