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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. 7-RES-JB
    6. 23190
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    INDEX
    Explanations

    dates and time-related events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to significant historical events or milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BILITIES
    -0.71
    lime
    -0.67
    erers
    -0.66
    Exec
    -0.64
    Es
    -0.63
    Runner
    -0.63
    erer
    -0.62
    III
    -0.61
    aser
    -0.61
    leness
    -0.60
    POSITIVE LOGITS
     inception
    1.35
     outset
    0.88
     infancy
    0.85
     dawn
    0.82
     1970
    0.82
     beginning
    0.81
     beginnings
    0.81
     earliest
    0.78
     1990
    0.76
     arrival
    0.76
    Activations Density 0.151%

    No Known Activations