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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. 9-RES-JB
    6. 8135
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    Explanations

    alphanumeric sequences combined with special characters

    oai_token-act-pair · gpt-3.5-turbo
    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
     financing
    -0.82
     textbooks
    -0.80
     proble
    -0.79
     tenants
    -0.79
     credential
    -0.78
     curric
    -0.77
     unfavorable
    -0.77
     detainees
    -0.77
     indict
    -0.77
     UNESCO
    -0.75
    POSITIVE LOGITS
    666
    1.28
    Gaming
    1.26
    Magikarp
    1.23
    guy
    1.21
    bear
    1.19
    420
    1.18
    pie
    1.17
    777
    1.17
    gamer
    1.16
    123
    1.15
    Activations Density 0.258%

    No Known Activations