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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. 2-RES-JB
    11. 7160
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    Explanations

    adjectives and nouns related to extremeness or exaggeration

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with extreme or exaggerated qualities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.93
    java
    -0.78
    WAR
    -0.70
    ETA
    -0.69
    prototype
    -0.68
    gnu
    -0.66
    stab
    -0.66
    acea
    -0.65
    chart
    -0.65
    NEY
    -0.65
    POSITIVE LOGITS
    ulous
    1.07
    ness
    1.04
    nesses
    1.00
    Magikarp
    0.93
    ulously
    0.86
    edly
    0.78
    recy
    0.76
    uly
    0.76
     Immunity
    0.75
    ures
    0.73
    Activations Density 0.037%

    No Known Activations