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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. 7-RES-JB
    11. 5287
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    Explanations

    phrases related to enhancing or strengthening something

    oai_token-act-pair · gpt-3.5-turbo

    words related to freshness and toughness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Immunity
    -0.75
    DragonMagazine
    -0.70
     Mandarin
    -0.68
    ãĥīãĥ©ãĤ´ãĥ³
    -0.64
     Divinity
    -0.64
     Barclays
    -0.62
     Nanto
    -0.62
     Terrorism
    -0.62
     Defenders
    -0.61
    wig
    -0.61
    POSITIVE LOGITS
    hest
    1.19
    atell
    1.03
    ilit
    0.99
    eties
    0.95
    rative
    0.94
    acies
    0.92
    assed
    0.91
    terness
    0.88
    ound
    0.87
    ately
    0.86
    Activations Density 0.044%

    No Known Activations