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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. 1-RES-JB
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    INDEX
    Explanations

    mentions of the brand "Nike."

    oai_token-act-pair · gpt-3.5-turbo

    references to the Nike brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oths
    -0.73
     ILCS
    -0.72
    ENCY
    -0.70
     Tsarnaev
    -0.69
    erest
    -0.68
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.67
    ÑĮ
    -0.66
     Dragonbound
    -0.66
    naires
    -0.65
    \\\\\\\\\\\\\\\\
    -0.63
    POSITIVE LOGITS
     Nike
    1.11
     Adidas
    1.05
     apparel
    0.98
     endors
    0.97
    mens
    0.93
     athlet
    0.85
     sneakers
    0.85
     tiss
    0.83
    idas
    0.82
     jerseys
    0.81
    Activations Density 0.005%

    No Known Activations