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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9205
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    Explanations

    comparative adjectives ending in 'er'

    oai_token-act-pair · gpt-3.5-turbo

    comparative adjectives and adverbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ainted
    -0.82
    advertising
    -0.76
    este
    -0.69
    odor
    -0.67
    shire
    -0.67
    mir
    -0.67
    EVA
    -0.67
    ité
    -0.67
    EP
    -0.66
    eno
    -0.65
    POSITIVE LOGITS
     than
    1.94
    than
    1.67
     Than
    1.66
     "$:/
    0.91
     versions
    0.84
    iating
    0.78
     Faster
    0.77
     ado
    0.73
     brother
    0.73
     embodiments
    0.70
    Activations Density 0.130%

    No Known Activations