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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. 6-RES-JB
    11. 17525
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    Explanations

    events or situations happening at a specific time or point in the past

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a recent event or update

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    olor
    -0.86
    pora
    -0.82
    etheus
    -0.70
    ascript
    -0.67
     devise
    -0.63
     contend
    -0.62
     derive
    -0.61
    impl
    -0.60
    orage
    -0.59
    ile
    -0.59
    POSITIVE LOGITS
     luck
    0.72
    ifiable
    0.69
    IFIED
    0.68
    èª
    0.67
    enged
    0.66
     brav
    0.64
     Ferry
    0.64
    soDeliveryDate
    0.63
    æĦ
    0.62
    enges
    0.60
    Activations Density 0.123%

    No Known Activations