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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. 3579
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    Explanations

    words related to amazement, beauty, wonder, and positive qualities

    oai_token-act-pair · gpt-3.5-turbo

    expressions of wonder and amazement about nature and creativity

    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
    Not in Any Lists

    No Comments

    Negative Logits
     referral
    -0.79
    levant
    -0.79
    pora
    -0.77
    abus
    -0.75
    ento
    -0.73
    erent
    -0.73
    eteria
    -0.71
    imester
    -0.69
    itored
    -0.67
    enhagen
    -0.67
    POSITIVE LOGITS
     miracles
    0.90
     feats
    0.85
     sculptures
    0.82
    Beaut
    0.81
     Buddha
    0.78
     Beauty
    0.77
     heroism
    0.75
     majesty
    0.74
     awe
    0.74
     Wonderful
    0.74
    Activations Density 0.645%

    No Known Activations