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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. 3-RES-JB
    11. 23157
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    Explanations

    mentions of data storage units measured in bytes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data measurement and file sizes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yrinth
    -0.73
    ggles
    -0.72
    ingo
    -0.71
    lain
    -0.71
    annis
    -0.70
    yrim
    -0.70
     Kremlin
    -0.70
     Alban
    -0.69
    ESCO
    -0.69
    antle
    -0.68
    POSITIVE LOGITS
     bytes
    1.09
    abyte
    0.94
    abytes
    0.89
     byte
    0.78
    terness
    0.77
     encoded
    0.77
     bits
    0.75
    code
    0.74
    Bytes
    0.74
    ãĥĥãĥī
    0.72
    Activations Density 0.009%

    No Known Activations