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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
    11. 1842
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    Explanations

    words related to medical and health issues, particularly those with a negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    words related to Catholicism or religious terminology

    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
     contestants
    -0.67
     chim
    -0.62
     runners
    -0.60
     dwarves
    -0.59
     description
    -0.59
    scale
    -0.59
    NOTE
    -0.59
     Nim
    -0.58
     Bernie
    -0.58
     Enemies
    -0.58
    POSITIVE LOGITS
    olic
    4.77
    olics
    2.85
    ols
    1.78
    olate
    1.60
    olis
    1.34
    oles
    1.32
    olia
    1.31
    ole
    1.29
    oli
    1.18
    etric
    1.16
    Activations Density 0.015%

    No Known Activations