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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. 10-RES-JB
    6. 4111
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    INDEX
    Explanations

    opinions or beliefs that are validated or confirmed

    oai_token-act-pair · gpt-3.5-turbo

    statements affirming correctness or truth

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Remastered
    -0.81
    gins
    -0.78
     Flavoring
    -0.73
     scrim
    -0.66
    effic
    -0.64
     Pastebin
    -0.64
    hens
    -0.63
     Qiao
    -0.63
     Pharma
    -0.61
     Gong
    -0.61
    POSITIVE LOGITS
    footed
    1.09
    eous
    0.96
    headed
    0.95
     about
    0.90
     wing
    0.79
    wing
    0.78
    fully
    0.76
    eyed
    0.74
    about
    0.73
     About
    0.72
    Activations Density 0.027%

    No Known Activations