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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. 19426
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    Explanations

    proper nouns related to specific individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    names and terms related to specific characters or entities

    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
     Gear
    -0.81
    308
    -0.81
    dylib
    -0.80
    jj
    -0.76
    298
    -0.75
     348
    -0.73
    rette
    -0.73
    348
    -0.72
     Vessel
    -0.72
     Dew
    -0.71
    POSITIVE LOGITS
    an
    1.53
    AN
    1.43
    pan
    1.29
    anon
    1.23
    kan
    1.23
    Pan
    1.22
    ans
    1.22
    anan
    1.20
     Ran
    1.18
     Anon
    1.18
    Activations Density 0.253%

    No Known Activations