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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. 14801
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    Explanations

    keywords related to supply chain management and technical skills

    oai_token-act-pair · gpt-3.5-turbo

    terms related to supply chains and associated components

    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
    ãĥīãĥ©
    -0.78
    ighth
    -0.73
    bowl
    -0.72
    Mos
    -0.69
    ãĥĺ
    -0.68
    sonian
    -0.65
    NL
    -0.65
    Birth
    -0.65
    Case
    -0.64
    bats
    -0.63
    POSITIVE LOGITS
     optimization
    0.87
     continuum
    0.81
     specialization
    0.80
     flexibility
    0.77
     modernization
    0.72
     analysis
    0.71
     optimizations
    0.69
     dictated
    0.67
     sophistication
    0.67
     modification
    0.67
    Activations Density 0.402%

    No Known Activations