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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. 17697
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    INDEX
    Explanations

    words related to various professions and industries

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

    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
    chuk
    -0.51
    ãĥĩãĤ£
    -0.51
    éĽ
    -0.50
     Leilan
    -0.49
    ãĥ¼ãĥĨ
    -0.49
     challeng
    -0.49
     corrid
    -0.48
     hers
    -0.48
    å¯
    -0.47
    æ°
    -0.47
    POSITIVE LOGITS
     largeDownload
    0.65
    NetMessage
    0.52
    merce
    0.50
    tesy
    0.48
    osures
    0.48
    itbart
    0.48
     partName
    0.47
    ibilities
    0.47
    geries
    0.47
    chedel
    0.47
    Activations Density 0.682%

    No Known Activations