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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. 20037
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    Explanations

    words related to records and achievements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to records and breaking records

    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
    ghan
    -0.75
    lez
    -0.69
    inki
    -0.68
    hirt
    -0.67
    atown
    -0.65
    afer
    -0.63
    ç
    -0.63
    esh
    -0.62
    gaard
    -0.62
    wagon
    -0.62
    POSITIVE LOGITS
     rainfall
    0.82
     deeds
    0.74
     consecutive
    0.72
     recorded
    0.70
     accomplishment
    0.69
    record
    0.69
    recorded
    0.67
    644
    0.66
    breaking
    0.66
    setting
    0.65
    Activations Density 0.202%

    No Known Activations