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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. 11403
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    Explanations

    specific types of grains or ingredients used in brewing or food production

    oai_token-act-pair · gpt-3.5-turbo

    specific types of natural resources, food items, and institutional or organizational names

    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
    terness
    -0.80
    natureconservancy
    -0.75
    htaking
    -0.72
    Merit
    -0.65
    eatures
    -0.62
     Nerd
    -0.61
     guiActiveUn
    -0.61
    mone
    -0.60
     WARN
    -0.60
     Canaver
    -0.59
    POSITIVE LOGITS
     equivalents
    0.94
    -,
    0.85
    /
    0.83
     or
    0.80
    ®,
    0.78
    +,
    0.72
    +.
    0.71
    /.
    0.70
    /_
    0.68
     etc
    0.66
    Activations Density 0.732%

    No Known Activations