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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. 9976
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    INDEX
    Explanations

    phrases indicating mutual interactions or relationships between entities

    oai_token-act-pair · gpt-3.5-turbo

    references to interactions between individuals

    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
    rovers
    -0.69
    stones
    -0.68
    Bs
    -0.65
    hawks
    -0.65
    OV
    -0.65
    Chain
    -0.64
    haven
    -0.64
    kamp
    -0.63
    Jer
    -0.62
    mount
    -0.62
    POSITIVE LOGITS
     successive
    1.20
     individual
    0.96
     individually
    0.87
     respective
    0.86
     iteration
    0.84
     side
    0.79
    THING
    0.78
     succeeding
    0.77
     subsequent
    0.75
     element
    0.75
    Activations Density 0.040%

    No Known Activations