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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. 8-RES-JB
    11. 10788
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    Explanations

    phrases containing comparative statements involving quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating quantities or comparisons referencing "more than."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     derog
    -0.73
     largeDownload
    -0.64
    ffen
    -0.62
     Dynamics
    -0.61
    ãĥ¼ãĥĨãĤ£
    -0.60
     Finder
    -0.60
    ilic
    -0.59
    ACTED
    -0.58
    oris
    -0.58
    ãĤ«
    -0.57
    POSITIVE LOGITS
    whelming
    0.92
     tripled
    0.85
    represent
    0.79
     1500
    0.78
     200
    0.77
    thirds
    0.77
     doubled
    0.76
    capacity
    0.76
    serving
    0.75
     600
    0.75
    Activations Density 0.063%

    No Known Activations