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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. 9-RES-JB
    6. 10521
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    Explanations

    phrases that emphasize a specific contrast or comparison context

    oai_token-act-pair · gpt-3.5-turbo

    referential phrases that lead to explanations or qualifications regarding various subjects

    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
    uku
    -0.77
    iol
    -0.68
    ione
    -0.68
    any
    -0.67
    case
    -0.65
    une
    -0.63
    yet
    -0.63
    Family
    -0.63
    ventions
    -0.62
    00000
    -0.62
    POSITIVE LOGITS
     mattered
    1.07
     prompted
    0.94
     bothers
    0.92
     drew
    0.92
     distinguishes
    0.90
     inspires
    0.89
     attracts
    0.87
     drove
    0.87
     sparked
    0.87
     dominates
    0.87
    Activations Density 0.116%

    No Known Activations