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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. 449
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    Explanations

    terms related to long-term duration or foresight

    oai_token-act-pair · gpt-3.5-turbo

    references to long-term concepts or considerations

    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
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    No Comments

    Negative Logits
     Cosponsors
    -0.99
    HOU
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     DRAG
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    chu
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    chy
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    hou
    -0.77
    rote
    -0.77
    IDES
    -0.76
     Mansion
    -0.76
    ©¶æ¥µ
    -0.74
    POSITIVE LOGITS
     viability
    0.98
     stability
    0.85
     survival
    0.81
     sustainability
    0.80
     unemployed
    0.79
     impact
    0.79
     usefulness
    0.78
     memory
    0.77
     outcomes
    0.77
     outcome
    0.75
    Activations Density 0.022%

    No Known Activations