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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. 5821
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    INDEX
    Explanations

    phrases related to summarizing and writing headlines for stories

    oai_token-act-pair · gpt-3.5-turbo

    the mention of significant organizations or entities

    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
    eatures
    -0.72
     aloud
    -0.69
    istical
    -0.67
     Labs
    -0.66
     Genius
    -0.65
    luster
    -0.65
     Weekend
    -0.64
    ONSORED
    -0.63
    oscope
    -0.63
    )].
    -0.62
    POSITIVE LOGITS
    seless
    0.68
    lees
    0.68
    elsen
    0.67
    awaru
    0.66
     pawn
    0.63
    uman
    0.62
    Mon
    0.61
    ierrez
    0.61
    peg
    0.59
    hower
    0.59
    Activations Density 0.000%

    No Known Activations