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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. 7598
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    Explanations

    tennis players' names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to notable individuals, particularly in sports or entertainment

    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
     disparate
    -0.66
    result
    -0.60
     entitle
    -0.58
     Seym
    -0.57
     lesser
    -0.56
     CBO
    -0.55
     magnification
    -0.54
     Borders
    -0.53
     Avalon
    -0.53
    bound
    -0.53
    POSITIVE LOGITS
     Jr
    0.91
    igham
    0.84
    's
    0.81
    enegger
    0.80
     Sr
    0.77
    ovich
    0.77
    vic
    0.76
    eln
    0.76
    cci
    0.74
     confid
    0.71
    Activations Density 0.192%

    No Known Activations