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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. 8-RES-JB
    11. 18520
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    INDEX
    Explanations

    references to physical locations or products

    oai_token-act-pair · gpt-3.5-turbo

    words associated with nature and outdoor activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    strings
    -0.72
     customary
    -0.68
    unal
    -0.65
     hind
    -0.64
    merga
    -0.64
    ional
    -0.64
    verbal
    -0.63
     whipping
    -0.63
    izational
    -0.63
    URA
    -0.62
    POSITIVE LOGITS
     Studios
    1.17
     Technologies
    1.07
     Labs
    1.02
     Productions
    1.01
     Nights
    1.00
     Brewery
    1.00
     Interactive
    0.95
     Games
    0.92
     Robotics
    0.90
     Industries
    0.89
    Activations Density 0.279%

    No Known Activations