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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. 6162
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    Explanations

    phrases related to continuous or ongoing actions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to dependency and addiction

    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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    Negative Logits
    ĸļ
    -0.75
    bley
    -0.71
    soDeliveryDate
    -0.68
    usercontent
    -0.66
    bane
    -0.64
    schild
    -0.62
     beginnings
    -0.61
     Lann
    -0.61
    enegger
    -0.61
     Bourbon
    -0.58
    POSITIVE LOGITS
    ctory
    0.90
    etric
    0.74
    idence
    0.73
    Ĥİ
    0.71
     scanner
    0.70
    imeter
    0.68
    ossession
    0.68
    APS
    0.67
    ulture
    0.65
    cia
    0.65
    Activations Density 0.079%

    No Known Activations