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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. 3-RES-JB
    11. 5720
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    Explanations

    references to the Oscars or instances of films winning or being nominated for Oscars

    oai_token-act-pair · gpt-3.5-turbo

    references to the Academy Awards, also known as the Oscars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plain
    -0.69
    ickr
    -0.67
    Beg
    -0.66
    INESS
    -0.66
    ears
    -0.65
    walking
    -0.63
    ipper
    -0.63
    icago
    -0.62
    BOOK
    -0.61
     subsistence
    -0.61
    POSITIVE LOGITS
     Wilde
    1.11
     Awards
    0.93
     Oscar
    0.86
     nominations
    0.85
    inal
    0.83
     laure
    0.83
     winner
    0.79
    scar
    0.78
     nomination
    0.78
    vine
    0.77
    Activations Density 0.006%

    No Known Activations