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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. 15086
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    INDEX
    Explanations

    industry-related terms, particularly focusing on automotive, pharmaceuticals, construction, and defense sectors

    oai_token-act-pair · gpt-3.5-turbo

    references to various industrial sectors and their characteristics

    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
    iple
    -0.75
     Howell
    -0.74
    enance
    -0.73
    ptoms
    -0.69
    uation
    -0.67
    nesses
    -0.66
    umbnail
    -0.66
    execute
    -0.65
    given
    -0.65
     Kessler
    -0.64
    POSITIVE LOGITS
     sciences
    1.08
     industry
    1.05
     industries
    1.02
     enthusiast
    0.97
     arts
    0.95
     sector
    0.92
     mogul
    0.89
     renaissance
    0.88
     giants
    0.88
     majors
    0.87
    Activations Density 0.389%

    No Known Activations