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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. 10-RES-JB
    6. 22992
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    Explanations

    words related to resources and their management

    oai_token-act-pair · gpt-3.5-turbo
    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
    arella
    -0.83
    deals
    -0.74
    ŃĶ
    -0.74
    ker
    -0.72
    redd
    -0.71
    alone
    -0.68
     Mock
    -0.67
    £ı
    -0.67
    bone
    -0.66
     Coil
    -0.64
    POSITIVE LOGITS
    fulness
    1.15
     allocation
    1.03
     resources
    0.98
     allocations
    0.93
    ful
    0.92
     utilization
    0.89
    iture
    0.87
     depletion
    0.85
    available
    0.85
     scarcity
    0.83
    Activations Density 0.033%

    No Known Activations