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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. 10-RES-JB
    11. 11250
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    INDEX
    Explanations

    references to supply chains or supply chain management

    oai_token-act-pair · gpt-3.5-turbo

    terms related to supply chain and supply-demand dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ormal
    -0.68
    doms
    -0.67
     Doodle
    -0.67
    ounty
    -0.65
    laughter
    -0.63
     dishon
    -0.63
    uate
    -0.62
    Auth
    -0.59
     HERO
    -0.59
     Jury
    -0.59
    POSITIVE LOGITS
     chain
    1.10
     shortages
    1.09
     Chain
    0.99
     chains
    0.95
    ãĥ¼ãĥĨãĤ£
    0.90
     Crate
    0.89
     shortage
    0.89
    ele
    0.80
     Chains
    0.80
     supply
    0.77
    Activations Density 0.060%

    No Known Activations