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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. 11410
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    INDEX
    Explanations

    mentions of political figures and elections

    oai_token-act-pair · gpt-3.5-turbo

    structural elements of news articles or stories

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Stage
    -0.18
     tremend
    -0.16
     Ye
    -0.16
    osate
    -0.15
     Py
    -0.15
     dyn
    -0.15
     Race
    -0.15
     Recall
    -0.15
     noble
    -0.15
     Dyn
    -0.14
    POSITIVE LOGITS
    ONSORED
    0.22
     taxp
    0.18
    Reilly
    0.18
    soDeliveryDate
    0.18
    20439
    0.18
     outwe
    0.17
    ãĥ¼ãĥ³
    0.17
    uable
    0.17
    annie
    0.17
     understatement
    0.17
    Activations Density 12.671%

    No Known Activations