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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 20796
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    Explanations

    statements related to potential health risks or dangers

    oai_token-act-pair · gpt-3.5-turbo

    statements describing the characteristics or categorizations of substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onnaissance
    -0.80
    isions
    -0.78
     countdown
    -0.70
    ision
    -0.70
     Pictures
    -0.69
     Isles
    -0.68
    endars
    -0.68
     Checking
    -0.68
    Kings
    -0.67
    edin
    -0.67
    POSITIVE LOGITS
     marketed
    1.25
     chemically
    1.19
     soluble
    1.19
     ingested
    1.16
     metabol
    1.12
     abundant
    1.11
     harvested
    1.10
     sprayed
    1.09
     commonly
    1.09
     readily
    1.09
    Activations Density 0.176%

    No Known Activations