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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. 4-RES-JB
    11. 13109
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    INDEX
    Explanations

    mentions of exposure to different substances or conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental exposure and its effects

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

    No Comments

    Negative Logits
    reme
    -0.77
    rolog
    -0.75
    rones
    -0.72
    lin
    -0.70
    ran
    -0.69
    assian
    -0.67
    agher
    -0.67
    rolley
    -0.66
    ricting
    -0.66
    ian
    -0.65
    POSITIVE LOGITS
     Exposure
    0.98
    xual
    0.84
    ibilities
    0.84
    ibility
    0.80
     exposure
    0.76
    PsyNetMessage
    0.74
    çīĪ
    0.72
    ted
    0.71
    itaire
    0.71
    ÃĽ
    0.70
    Activations Density 0.016%

    No Known Activations