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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. 5-RES-JB
    6. 7299
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    Explanations

    words that are in the past tense

    oai_token-act-pair · gpt-3.5-turbo

    past and present participle verbs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imet
    -0.75
    ses
    -0.74
    schild
    -0.74
    orest
    -0.73
    sis
    -0.72
     pots
    -0.69
     stomp
    -0.67
    imeters
    -0.67
    yz
    -0.67
    ivari
    -0.66
    POSITIVE LOGITS
     Releases
    0.79
    fleet
    0.78
     Lists
    0.71
     Modes
    0.71
     Freak
    0.70
     Hilbert
    0.70
     Officer
    0.68
     Torrent
    0.68
     Celeb
    0.67
     Charity
    0.66
    Activations Density 0.119%

    No Known Activations