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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. 3-RES-JB
    11. 296
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    INDEX
    Explanations

    mentions of being physically trapped or in a difficult situation

    oai_token-act-pair · gpt-3.5-turbo

    references to being trapped in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    issance
    -0.82
    edly
    -0.76
    sburgh
    -0.75
    eds
    -0.75
    esan
    -0.73
    sych
    -0.72
    office
    -0.67
    sburg
    -0.63
    ciation
    -0.62
    ed
    -0.62
    POSITIVE LOGITS
     trapped
    0.93
    ©¶æ¥µ
    0.82
    ModLoader
    0.78
     trapping
    0.77
     souls
    0.75
     Tracks
    0.75
    untarily
    0.73
    ÃįÃį
    0.71
    ÃĥÃĤ
    0.70
    door
    0.70
    Activations Density 0.017%

    No Known Activations