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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. 5-RES-JB
    6. 21452
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    Explanations

    phrases related to superlatives or extremes, especially those related to rankings within a category

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize something being significant or prominent in the world

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.96
    imon
    -0.92
    paio
    -0.82
    urations
    -0.81
    aturday
    -0.81
    sbm
    -0.79
    conserv
    -0.79
    odox
    -0.74
    uper
    -0.74
    Corp
    -0.73
    POSITIVE LOGITS
     premiere
    0.79
     Confederation
    0.73
     championships
    0.71
     economy
    0.71
     championship
    0.71
     arena
    0.70
    wide
    0.70
    oland
    0.68
     renowned
    0.68
    building
    0.65
    Activations Density 0.045%

    No Known Activations