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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. 20973
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    Explanations

    phrases related to physical actions or movements

    oai_token-act-pair · gpt-3.5-turbo

    articles and descriptive phrases that indicate specific characteristics or details

    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
     annually
    -0.77
    Contents
    -0.70
    imester
    -0.69
     Income
    -0.64
     Assets
    -0.64
    iments
    -0.63
    Sources
    -0.63
     herein
    -0.63
    SI
    -0.62
    Own
    -0.62
    POSITIVE LOGITS
     handful
    1.05
     few
    1.04
     flurry
    1.01
     frantic
    1.01
     sudden
    1.00
     grin
    0.96
     flashback
    0.95
     couple
    0.95
     furious
    0.95
     heartbeat
    0.94
    Activations Density 0.331%

    No Known Activations