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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. 3-RES-JB
    11. 19997
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    Explanations

    specific mentions of level numbers within a text, especially focusing on the concept of advancing to or achieving a certain level

    oai_token-act-pair · gpt-3.5-turbo

    references to levels and their associated ratings in a game

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vous
    -0.94
    rontal
    -0.74
    Wil
    -0.73
    OPLE
    -0.72
    oute
    -0.70
    lez
    -0.68
    uter
    -0.67
    ILLE
    -0.66
     vot
    -0.64
    edia
    -0.62
    POSITIVE LOGITS
    level
    0.80
    Level
    0.72
     attainment
    0.69
     level
    0.69
     levels
    0.67
    abilities
    0.66
    rise
    0.65
     advancement
    0.64
     Levels
    0.64
     richness
    0.64
    Activations Density 0.029%

    No Known Activations