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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. 23974
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    Explanations

    specific codes or labels likely related to technical or professional fields

    oai_token-act-pair · gpt-3.5-turbo

    numerical or statistical information

    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
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    No Comments

    Negative Logits
     Vaugh
    -0.78
     thous
    -0.77
    aturdays
    -0.73
     disadvant
    -0.70
     helicop
    -0.69
     corrid
    -0.69
    emale
    -0.68
     predec
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.66
    edIn
    -0.65
    POSITIVE LOGITS
     largeDownload
    0.60
     Profile
    0.59
     Entered
    0.58
     Shin
    0.57
    hi
    0.57
    hua
    0.55
     Overs
    0.55
    ho
    0.55
    hu
    0.53
     Morsi
    0.53
    Activations Density 1.142%

    No Known Activations