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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. 11-RES-JB
    6. 7252
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    Explanations

    locations or areas that are associated with specific activities or properties

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant physical locations or centers of activity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Overt
    -0.55
     warr
    -0.54
    Austral
    -0.54
     Seah
    -0.52
    INGS
    -0.52
    INC
    -0.52
    REE
    -0.52
    Auth
    -0.51
     motions
    -0.51
     PROG
    -0.50
    POSITIVE LOGITS
     for
    1.10
     conducive
    0.87
     ripe
    0.85
     destination
    0.82
     hub
    0.81
    for
    0.80
     frequ
    0.79
     refuge
    0.78
     venue
    0.77
     where
    0.74
    Activations Density 0.363%

    No Known Activations