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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. 9-RES-JB
    11. 13363
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    Explanations

    references to units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    references to "unit" and its variations, indicating discussions about measurement, organization, or components in a specific context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.77
    cape
    -0.75
     acknow
    -0.70
    fter
    -0.69
    issance
    -0.68
    NetMessage
    -0.67
    lyn
    -0.67
    ãĤī
    -0.66
     Shack
    -0.66
    bone
    -0.65
    POSITIVE LOGITS
    mate
    0.96
    mates
    0.87
    ary
    0.86
    rity
    0.83
    imet
    0.77
    aries
    0.75
    aged
    0.75
    agers
    0.74
    arily
    0.70
    aging
    0.68
    Activations Density 0.031%

    No Known Activations