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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. 9-RES-JB
    11. 17545
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    Explanations

    terms related to graphical plateaus and peaks

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to statistics and data analysis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    smart
    -0.77
     vets
    -0.72
     chefs
    -0.71
    ourt
    -0.71
     dumb
    -0.69
    redients
    -0.69
    Online
    -0.68
     DIY
    -0.68
     Loaded
    -0.67
    equipped
    -0.67
    POSITIVE LOGITS
     amplitude
    1.22
     peaks
    1.22
     detectable
    1.15
     observed
    1.11
     (âĪĴ
    1.08
     posterior
    1.06
     anomal
    1.04
     gradient
    1.03
     variability
    1.01
    Figure
    1.01
    Activations Density 0.704%

    No Known Activations