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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. 0-RES-JB
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    Explanations

    terms related to urban developments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "developments" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imated
    -0.74
     commanded
    -0.72
    ucket
    -0.70
    quist
    -0.66
     Bucket
    -0.65
    pped
    -0.62
     Painter
    -0.60
     bucket
    -0.59
    onym
    -0.59
    lb
    -0.58
    POSITIVE LOGITS
     developments
    3.68
     development
    1.61
     advancements
    1.54
     trends
    1.52
     discoveries
    1.48
     innovations
    1.42
     setbacks
    1.39
     Develop
    1.36
     advances
    1.34
     revelations
    1.32
    Activations Density 0.015%

    No Known Activations