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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. 14725
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    names of public figures and references to audition-related activities

    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
    OLOGY
    -0.85
     Doctrine
    -0.80
     Mund
    -0.73
    nav
    -0.70
    ND
    -0.69
     scripture
    -0.68
     map
    -0.67
     Sang
    -0.66
     Zed
    -0.65
     Offense
    -0.65
    POSITIVE LOGITS
     audition
    1.71
    coni
    1.65
     Carrie
    1.38
    umber
    1.27
     contestant
    1.21
     Hamburg
    1.11
    Lago
    1.06
     Wembley
    1.06
     Ariel
    1.03
     binge
    1.03
    Activations Density 0.056%

    No Known Activations