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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. 6-RES-JB
    11. 5564
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    INDEX
    Explanations

    mentions of lineups

    oai_token-act-pair · gpt-3.5-turbo

    references to lineups in various contexts, such as events or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nai
    -0.94
    birth
    -0.81
    tein
    -0.79
    imb
    -0.77
    ryn
    -0.76
    bara
    -0.71
    owicz
    -0.70
    rir
    -0.69
    bach
    -0.69
    mit
    -0.68
    POSITIVE LOGITS
     lineup
    1.02
     XI
    0.85
     XV
    0.77
    selection
    0.75
     favourites
    0.74
    aurus
    0.71
    ttes
    0.71
     choices
    0.70
     swaps
    0.68
     selections
    0.67
    Activations Density 0.016%

    No Known Activations