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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. 2-RES-JB
    11. 19404
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    Explanations

    references to the software "Office 365" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "365" and related numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.77
    isen
    -0.77
    issue
    -0.73
    hran
    -0.72
    umble
    -0.72
     Eisen
    -0.70
    atown
    -0.69
    geon
    -0.68
    placed
    -0.67
    olar
    -0.66
    POSITIVE LOGITS
     ILCS
    1.00
    ertodd
    0.93
    iencies
    0.92
    cffff
    0.85
    20439
    0.74
    365
    0.73
     coh
    0.72
     365
    0.71
     fulfil
    0.68
    cies
    0.66
    Activations Density 0.013%

    No Known Activations