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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. 20228
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    Explanations

    adjectives describing the intensity or extremeness of something

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers emphasizing the degree of something

    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
    ger
    -0.65
    Gov
    -0.63
    eele
    -0.63
    ibur
    -0.62
    Ger
    -0.60
    aign
    -0.60
    uel
    -0.60
     Wage
    -0.60
    ria
    -0.59
    nor
    -0.59
    POSITIVE LOGITS
     extremely
    2.88
     incredibly
    2.49
     exceedingly
    2.41
     exceptionally
    2.33
     extraordinarily
    2.32
    extremely
    2.15
     VERY
    2.02
     unbelievably
    2.00
     immensely
    1.97
     insanely
    1.95
    Activations Density 0.023%

    No Known Activations