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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. 2-RES-JB
    11. 20866
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    Explanations

    different proficiency levels or extents

    oai_token-act-pair · gpt-3.5-turbo

    references to different levels of proficiency or expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.79
    ãĥĹ
    -0.75
    rontal
    -0.72
    ãĥīãĥ©ãĤ´ãĥ³
    -0.69
    lez
    -0.69
     Andromeda
    -0.68
     Terra
    -0.67
     Arg
    -0.65
    ãĥ¬
    -0.65
    Sund
    -0.64
    POSITIVE LOGITS
    level
    0.94
     levels
    0.87
     level
    0.87
    Level
    0.79
    rise
    0.78
    levels
    0.74
    ropri
    0.73
     sophistication
    0.72
    ffen
    0.70
     Levels
    0.69
    Activations Density 0.030%

    No Known Activations