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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. 1926
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    INDEX
    Explanations

    phrases indicating an understatement or exaggeration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to understatement and exaggeration

    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
    etheus
    -0.71
    aeus
    -0.70
    ands
    -0.69
    nect
    -0.67
    ibilities
    -0.67
    ogy
    -0.66
    cosystem
    -0.66
    stream
    -0.64
    ware
    -0.63
     custod
    -0.63
    POSITIVE LOGITS
     exaggeration
    3.09
     exagger
    3.01
     understatement
    3.00
     exaggerated
    2.38
     embell
    1.59
     overest
    1.43
     unfounded
    1.38
    bole
    1.36
     underest
    1.35
     fabrication
    1.33
    Activations Density 0.045%

    No Known Activations