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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. 9417
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    INDEX
    Explanations

    company names

    oai_token-act-pair · gpt-3.5-turbo

    references to well-known corporations and brands

    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
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.77
    cised
    -0.73
    chest
    -0.72
    isode
    -0.71
     "$:/
    -0.70
    onies
    -0.68
    %%%%
    -0.67
    icter
    -0.64
    orical
    -0.63
    geries
    -0.63
    POSITIVE LOGITS
     Ventures
    0.85
    's
    0.84
     Stores
    0.83
     exec
    0.80
     employs
    0.80
     executives
    0.78
     Enterprises
    0.76
     Technologies
    0.76
     shareholders
    0.75
    Ins
    0.73
    Activations Density 0.156%

    No Known Activations