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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. 6-RES-JB
    11. 14944
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    Explanations

    words related to health and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    sentences related to health effects and risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     salute
    -0.76
     embargo
    -0.73
     allegiance
    -0.73
     pledged
    -0.72
     footing
    -0.72
     boarded
    -0.72
     pledge
    -0.70
     affili
    -0.70
     planned
    -0.69
     commemor
    -0.69
    POSITIVE LOGITS
     Conversely
    1.46
     Additionally
    1.43
     Alternatively
    1.39
     Depending
    1.34
     Therefore
    1.30
     Likewise
    1.30
     Examples
    1.29
     Moreover
    1.29
     Furthermore
    1.28
     However
    1.27
    Activations Density 0.656%

    No Known Activations