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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. 7-RES-JB
    11. 21751
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    Explanations

    feedback or interaction prompts

    oai_token-act-pair · gpt-3.5-turbo

    requests for user engagement, such as leaving comments or questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     establishments
    -0.75
     corridors
    -0.75
     installations
    -0.72
     economies
    -0.72
     raids
    -0.72
    urches
    -0.71
     fixtures
    -0.70
     practices
    -0.70
     channels
    -0.69
    itudes
    -0.69
    POSITIVE LOGITS
     somewhere
    0.86
    ogram
    0.76
    atical
    0.75
     someday
    0.74
    cko
    0.73
    DragonMagazine
    0.71
     WITHOUT
    0.71
     Called
    0.70
     thats
    0.70
    dylib
    0.70
    Activations Density 0.338%

    No Known Activations