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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. 5-RES-JB
    6. 21871
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    Explanations

    simple tasks or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to simplicity or simplification in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    psey
    -1.12
    etheus
    -0.72
    outheast
    -0.72
     whale
    -0.71
     Normandy
    -0.69
     Whale
    -0.68
    reon
    -0.66
    everal
    -0.66
    ificantly
    -0.65
     whales
    -0.64
    POSITIVE LOGITS
     arithmetic
    0.84
    ItemImage
    0.74
    tons
    0.73
    simple
    0.69
     simple
    0.67
    execute
    0.67
     tru
    0.65
    PLAY
    0.65
    ASY
    0.64
     elegance
    0.64
    Activations Density 0.275%

    No Known Activations