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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. 1-RES-JB
    11. 7666
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    Explanations

    terms related to production processes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "production" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ever
    -0.66
    aiman
    -0.66
    itudinal
    -0.65
    olulu
    -0.65
    CHAPTER
    -0.64
    cknowled
    -0.64
    EGA
    -0.63
    uckle
    -0.62
    ARB
    -0.62
    PAC
    -0.62
    POSITIVE LOGITS
     productions
    1.03
     production
    1.01
     Production
    0.93
    Production
    0.86
     output
    0.84
     produ
    0.79
    production
    0.78
    wright
    0.77
     screenings
    0.71
     PRODUCT
    0.71
    Activations Density 0.023%

    No Known Activations