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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. 6-RES-JB
    11. 23699
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    Explanations

    commands or instructions given in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases indicating user actions or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    âĢİ
    -0.84
    GREEN
    -0.75
    ãĤ¤ãĥĪ
    -0.74
    wikipedia
    -0.73
     Sco
    -0.70
    Cu
    -0.70
    Tomorrow
    -0.69
    Pinterest
    -0.69
    Ú
    -0.69
    Mad
    -0.68
    POSITIVE LOGITS
     unsure
    0.85
     discrepancy
    0.81
     configured
    0.81
     purchased
    0.78
     duplicate
    0.74
     breach
    0.72
     subclass
    0.72
     incorrectly
    0.71
     requested
    0.70
     exceed
    0.70
    Activations Density 0.270%

    No Known Activations