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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. 5-RES-JB
    6. 13818
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    Explanations

    the concept of incentives related to actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to incentives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rooms
    -0.95
    room
    -0.80
    esan
    -0.77
    gaard
    -0.75
    lain
    -0.75
    mbuds
    -0.74
    bane
    -0.74
    agn
    -0.72
    abad
    -0.72
     Ange
    -0.71
    POSITIVE LOGITS
     incentive
    1.12
     incentives
    1.08
     incentiv
    1.04
     incent
    0.98
     rewarded
    0.95
     schemes
    0.90
    Reviewer
    0.86
     compensation
    0.84
     scheme
    0.82
     motivate
    0.81
    Activations Density 0.020%

    No Known Activations