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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. 11-RES-JB
    6. 608
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    INDEX
    Explanations

    numerical data presented in a list format

    oai_token-act-pair · gpt-3.5-turbo

    commas in numerical data presentations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     newsp
    -0.71
     likeness
    -0.68
     enthusi
    -0.66
     neighb
    -0.62
     nomine
    -0.60
     advoc
    -0.60
     fundament
    -0.60
     disadvant
    -0.59
     existence
    -0.58
     philos
    -0.58
    POSITIVE LOGITS
    000
    1.57
    500
    1.55
    700
    1.52
    600
    1.48
    748
    1.48
    800
    1.47
    630
    1.47
    713
    1.47
    765
    1.45
    549
    1.45
    Activations Density 0.089%

    No Known Activations