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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. 9-RES-JB
    6. 11063
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    INDEX
    Explanations

    proper nouns, specifically names of people and locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of individuals and their associated details or identifiers in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ensical
    -0.68
    ulous
    -0.65
     roundup
    -0.62
    waves
    -0.62
    isphere
    -0.61
    antics
    -0.60
     ital
    -0.60
    oline
    -0.60
    parency
    -0.59
     conclusions
    -0.58
    POSITIVE LOGITS
     Jr
    0.98
     29
    0.97
     31
    0.95
     32
    0.95
     27
    0.92
     37
    0.91
     33
    0.91
     59
    0.91
     26
    0.91
     28
    0.90
    Activations Density 0.192%

    No Known Activations