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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. 14359
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    Explanations

    phrases related to specific substances or compounds, especially those related to health benefits

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health, biological substances, and their effects

    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
    $.
    -0.51
     eternity
    -0.49
    aeper
    -0.49
    tnc
    -0.48
    EStreamFrame
    -0.48
    yond
    -0.47
     wardrobe
    -0.45
    thia
    -0.45
    done
    -0.45
    etimes
    -0.44
    POSITIVE LOGITS
     consists
    1.10
     dominates
    1.05
     meanwhile
    1.04
     provides
    1.00
     has
    1.00
     comprises
    0.97
     is
    0.97
     embodies
    0.95
     represents
    0.95
     refers
    0.94
    Activations Density 0.856%

    No Known Activations