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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 20108
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    Explanations

    percentage changes in numerical data

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data represented in percentages and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tags
    -1.02
    sels
    -0.81
    devices
    -0.80
    boards
    -0.78
     Medals
    -0.78
     Machines
    -0.78
     Cups
    -0.78
    verbs
    -0.77
     Techniques
    -0.76
     Scenes
    -0.76
    POSITIVE LOGITS
     multiplier
    1.05
     spike
    1.04
     increase
    1.02
     uptick
    1.01
     ratio
    0.98
     improvement
    0.95
     presence
    0.94
     boost
    0.91
     advantage
    0.90
     difference
    0.90
    Activations Density 0.162%

    No Known Activations