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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. 9-RES-JB
    6. 11624
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    INDEX
    Explanations

    mentions of specific organizations or individuals, particularly related to politics or business

    oai_token-act-pair · gpt-3.5-turbo

    references to arguments or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORMATION
    -0.87
    lihood
    -0.75
    mission
    -0.68
    missions
    -0.66
    ned
    -0.66
    DAY
    -0.65
    soever
    -0.65
    fulness
    -0.64
     spaced
    -0.64
    âĸ¬
    -0.64
    POSITIVE LOGITS
    uably
    1.34
    uments
    1.13
    raph
    1.02
    emouth
    0.99
    irl
    0.95
    roup
    0.95
    naire
    0.91
    ues
    0.90
    ansas
    0.90
    allery
    0.89
    Activations Density 0.036%

    No Known Activations