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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. 15833
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    Explanations

    instances where a large number of people or entities are involved or affected by a particular situation or event

    oai_token-act-pair · gpt-3.5-turbo

    references to numerous individuals or groups

    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
    ibal
    -0.67
     Presence
    -0.64
     opener
    -0.63
     largeDownload
    -0.62
    CHA
    -0.62
     presence
    -0.61
     lim
    -0.60
     Loading
    -0.60
     Loaded
    -0.60
    assium
    -0.60
    POSITIVE LOGITS
     unnamed
    0.91
     dozen
    0.90
     successive
    0.84
     unsuspecting
    0.82
     individuals
    0.80
     prominent
    0.78
     unspecified
    0.78
    dozen
    0.77
     consecutive
    0.76
     undisclosed
    0.76
    Activations Density 0.362%

    No Known Activations