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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. 11-RES-JB
    11. 13646
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    Explanations

    phrases related to demonstrating or showcasing something

    oai_token-act-pair · gpt-3.5-turbo

    references to actions of demonstrating or showing abilities and outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.98
    agues
    -0.88
    osate
    -0.77
    inventoryQuantity
    -0.72
    oldown
    -0.71
    lake
    -0.70
    catentry
    -0.68
    orters
    -0.67
    SOURCE
    -0.66
    levard
    -0.66
    POSITIVE LOGITS
     how
    1.09
     prowess
    1.03
     versatility
    0.99
     proficiency
    0.98
     excellence
    0.95
     superiority
    0.95
     firsthand
    0.94
     feats
    0.91
     effectiveness
    0.89
     bravery
    0.87
    Activations Density 0.064%

    No Known Activations