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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. 19766
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    Explanations

    words or phrases with non-standard or special characters included

    oai_token-act-pair · gpt-3.5-turbo

    instances of descriptions of large creatures or entities, likely within a fictional 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
     disadvant
    -0.73
     succession
    -0.69
     takeaway
    -0.69
     incorpor
    -0.69
     lawy
    -0.69
     unden
    -0.68
     Seym
    -0.68
     princ
    -0.66
     Mobil
    -0.66
     Vaugh
    -0.66
    POSITIVE LOGITS
    ï¸ı
    1.47
    âĶĢâĶĢâĶĢâĶĢ
    1.08
    à¼
    1.00
    о
    1.00
    âĻ
    0.99
    âĸł
    0.99
    âĢ
    0.97
    §
    0.95
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.94
    ··
    0.92
    Activations Density 0.249%

    No Known Activations