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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2667
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    Explanations

    words related to technology or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to software testing or quality assurance terminology

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ItemTracker
    -0.75
    AMI
    -0.70
     coefficient
    -0.64
     CVE
    -0.62
     restraints
    -0.61
    eering
    -0.61
     HIP
    -0.60
    osate
    -0.60
     Bind
    -0.60
    ressive
    -0.60
    POSITIVE LOGITS
    terness
    1.11
    ques
    1.05
    ters
    1.04
    boro
    0.96
    aurus
    0.93
    pler
    0.90
    cil
    0.88
    tes
    0.87
    chet
    0.87
    ter
    0.86
    Activations Density 0.018%

    No Known Activations