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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. 16762
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    Explanations

    mentions of technology specifications, such as RAM and storage capacities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specifications and quantities related to technology or devices

    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
    few
    -0.79
    bid
    -0.75
     holiest
    -0.75
    999
    -0.75
    ylum
    -0.74
    uctions
    -0.73
    9999
    -0.73
    sort
    -0.70
    1001
    -0.70
    fuck
    -0.69
    POSITIVE LOGITS
     RAM
    0.85
     extra
    0.77
     usable
    0.77
     uninterrupted
    0.77
     sunshine
    0.76
     additional
    0.75
     cumulative
    0.74
     elapsed
    0.72
     spare
    0.69
     disposable
    0.68
    Activations Density 0.057%

    No Known Activations