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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. 9839
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    Explanations

    expressions thanking someone for subscribing or signing up

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    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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    No Comments

    Negative Logits
    quickShipAvailable
    -0.86
    soDeliveryDate
    -0.85
    arc
    -0.73
    aults
    -0.72
    ulhu
    -0.69
    mode
    -0.69
    é¾
    -0.68
    ilogy
    -0.67
    edin
    -0.66
    Center
    -0.66
    POSITIVE LOGITS
    giving
    0.85
     supporting
    0.81
     introducing
    0.79
     hosting
    0.78
     joining
    0.76
    gotten
    0.75
     subscribing
    0.75
     helping
    0.72
     inviting
    0.72
     sponsoring
    0.71
    Activations Density 0.040%

    No Known Activations