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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. 6148
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    Explanations

    words related to newness or recent events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "newly" in various contexts

    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
    trak
    -0.86
     Bullets
    -0.77
    ocene
    -0.77
    igraph
    -0.75
    orem
    -0.72
    rice
    -0.70
     Limbaugh
    -0.67
     Attribution
    -0.67
    urgy
    -0.67
    ashtra
    -0.67
    POSITIVE LOGITS
    ãĤ»
    0.99
    ãĤ´
    0.94
    foundland
    0.83
     reunited
    0.78
     unsus
    0.77
    bies
    0.74
     crowned
    0.73
    WIND
    0.72
     budding
    0.71
     discovered
    0.70
    Activations Density 0.008%

    No Known Activations