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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. 0-RES-JB
    11. 12946
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    Explanations

    adjectives indicating hardness or difficulty

    oai_token-act-pair · gpt-3.5-turbo

    references to difficulty or the concept of something being "hard."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gifts
    -0.68
    iquette
    -0.67
    opsis
    -0.67
    aido
    -0.66
     ($)
    -0.66
    soDeliveryDate
    -0.66
     Cosponsors
    -0.64
    Footnote
    -0.64
    VIEW
    -0.63
    article
    -0.63
    POSITIVE LOGITS
     hard
    3.45
     harder
    2.29
    hard
    2.25
    Hard
    2.13
     Hard
    2.11
     hardest
    1.87
     tough
    1.83
     difficult
    1.73
     soft
    1.38
     hardness
    1.25
    Activations Density 0.028%

    No Known Activations