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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. 13453
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    Explanations

    references to laps being completed or involved in various activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of lapses or failures in attention or performance

    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
     Trop
    -0.71
    bush
    -0.66
     Towns
    -0.64
     Square
    -0.64
     AMERICA
    -0.61
     pound
    -0.58
     Defenders
    -0.57
     Nordic
    -0.57
     IMAGES
    -0.57
     wills
    -0.57
    POSITIVE LOGITS
     laps
    1.05
    es
    0.98
    atile
    0.96
    manship
    0.96
    atility
    0.92
    itters
    0.89
    wagen
    0.87
    luster
    0.86
    ription
    0.85
    imil
    0.85
    Activations Density 0.007%

    No Known Activations