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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 19065
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    INDEX
    Explanations

    keywords related to exposure to various substances or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to exposure to chemicals or environmental hazards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rolley
    -0.71
    reme
    -0.71
    rones
    -0.70
    ran
    -0.70
    gran
    -0.68
    aws
    -0.68
    rocal
    -0.66
    roph
    -0.65
    sell
    -0.64
    ophers
    -0.64
    POSITIVE LOGITS
     Exposure
    1.11
    çīĪ
    0.92
     exposure
    0.87
    ibilities
    0.85
    quished
    0.80
    ibility
    0.80
     Awareness
    0.78
    в
    0.78
    é¾
    0.78
     exposures
    0.77
    Activations Density 0.008%

    No Known Activations