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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. 9-RES-JB
    11. 5719
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    Explanations

    dates with mentions of events or places

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, particularly dates and values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     entertainment
    -0.53
     fictional
    -0.51
     psyche
    -0.49
     ``
    -0.49
     savvy
    -0.48
     characteristics
    -0.48
     protagonist
    -0.47
     positives
    -0.47
     bearer
    -0.47
     negativity
    -0.46
    POSITIVE LOGITS
    merce
    0.70
     Flavoring
    0.62
    rador
    0.62
    etc
    0.58
    âĢ¦)
    0.57
    awei
    0.57
    miah
    0.55
    azel
    0.55
    SW
    0.54
    berra
    0.54
    Activations Density 1.239%

    No Known Activations