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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 3456
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    Explanations

    superlatives, especially those relating to extremes like "est" or "iest"

    oai_token-act-pair · gpt-3.5-turbo

    superlative forms of adjectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    krit
    -0.78
    æ©
    -0.74
    isson
    -0.73
    ilater
    -0.72
    mbuds
    -0.70
    dinand
    -0.69
    bara
    -0.69
    mberg
    -0.66
    sem
    -0.65
    vim
    -0.65
    POSITIVE LOGITS
     imaginable
    1.08
     conceivable
    0.97
     possible
    0.92
     practicable
    0.78
     thing
    0.77
    anding
    0.75
     sounding
    0.73
    ream
    0.71
     ever
    0.71
    ness
    0.69
    Activations Density 0.023%

    No Known Activations