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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. 1-RES-JB
    6. 20497
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    Explanations

    phrases related to physical locations or buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and physical spaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Money
    -0.64
    ggles
    -0.63
     brow
    -0.62
     Merc
    -0.60
    olan
    -0.60
    ntil
    -0.59
    UST
    -0.59
    ascar
    -0.58
     Laksh
    -0.58
     dime
    -0.58
    POSITIVE LOGITS
     premises
    1.52
     premise
    0.93
     grounds
    0.76
    ilion
    0.71
    stairs
    0.71
    washer
    0.70
    acle
    0.70
     Vaults
    0.69
    ensibly
    0.68
     conduc
    0.66
    Activations Density 0.004%

    No Known Activations