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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. 9033
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    INDEX
    Explanations

    proper nouns, especially names of companies, organizations, or locations

    oai_token-act-pair · gpt-3.5-turbo

    specific organizations, locations, or brands

    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
    thens
    -0.73
    onies
    -0.71
    uminati
    -0.67
    sembly
    -0.66
    cised
    -0.64
    mble
    -0.62
     Mehran
    -0.62
    pired
    -0.61
    ructure
    -0.61
    athi
    -0.60
    POSITIVE LOGITS
    's
    1.08
     itself
    0.93
    speak
    0.86
     lore
    0.81
     terminology
    0.79
     jargon
    0.78
    senal
    0.77
    Care
    0.74
     regulations
    0.73
     Headquarters
    0.73
    Activations Density 0.323%

    No Known Activations