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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. 12811
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    Explanations

    dates or time-related words

    oai_token-act-pair · gpt-3.5-turbo

    instances where "currently" and "previously" are mentioned, indicating temporal references in a text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     southwestern
    -0.61
    pron
    -0.60
     mouth
    -0.59
     gent
    -0.58
    dig
    -0.57
     paddle
    -0.57
     northwestern
    -0.57
     disco
    -0.56
    natureconservancy
    -0.56
     nucleus
    -0.56
    POSITIVE LOGITS
    resa
    0.85
    ccording
    0.83
    terness
    0.81
     Called
    0.78
     Leader
    0.77
    adays
    0.76
     Helpful
    0.75
     Speaking
    0.74
     Serving
    0.73
     Costs
    0.73
    Activations Density 0.044%

    No Known Activations