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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. 1-RES-JB
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    Explanations

    mentions of the phrase "tears" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional expressions involving tears

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ancial
    -0.79
    offic
    -0.68
    ATIVE
    -0.67
    eport
    -0.66
    efficients
    -0.66
    irl
    -0.64
    eers
    -0.64
    ATA
    -0.64
    ENCY
    -0.62
    Population
    -0.62
    POSITIVE LOGITS
     tears
    1.23
    bows
    1.02
     Tears
    1.02
    terday
    0.96
     tear
    0.82
    stained
    0.79
    stals
    0.77
     weeping
    0.76
     pity
    0.75
     stained
    0.73
    Activations Density 0.005%

    No Known Activations