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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. 3-RES-JB
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    terms related to computer workloads and workflow management

    oai_token-act-pair · gpt-3.5-turbo

    terms relating to workloads and workflows in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ohyd
    -0.81
    ogun
    -0.70
    ohydrate
    -0.69
     Flesh
    -0.64
    orb
    -0.62
    rupt
    -0.62
    neg
    -0.61
    rak
    -0.61
    olog
    -0.61
    agra
    -0.61
    POSITIVE LOGITS
     workload
    1.13
     workflow
    1.01
     sched
    0.94
    flows
    0.84
    TPS
    0.81
    tops
    0.78
    atcher
    0.75
    s
    0.73
     computing
    0.73
    isSpecialOrderable
    0.71
    Activations Density 0.008%

    No Known Activations