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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. 4-RES-JB
    11. 10778
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    Explanations

    numerical or list items marked as "first" or indicating the beginning of a series

    oai_token-act-pair · gpt-3.5-turbo

    the term "starters" related to sports or other contexts

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

    No Comments

    Negative Logits
    Parents
    -0.67
    Delivery
    -0.66
    rams
    -0.65
    ivan
    -0.63
    atron
    -0.62
    appa
    -0.62
    Bound
    -0.61
    allowed
    -0.61
    ItemImage
    -0.60
    idine
    -0.60
    POSITIVE LOGITS
     sake
    0.80
    here
    0.77
     Hopkins
    0.74
     blush
    0.73
     pitchers
    0.71
     suppose
    0.71
    tenance
    0.70
     starters
    0.70
    starting
    0.69
    osaurus
    0.66
    Activations Density 0.006%

    No Known Activations