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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. 21475
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    Explanations

    proper nouns or names used for comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving the word "likes" and its 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
    INTON
    -0.63
    ISH
    -0.62
    士
    -0.62
     Procedures
    -0.61
     Donation
    -0.59
     Sources
    -0.59
     sources
    -0.56
     cas
    -0.56
    NING
    -0.55
     Springs
    -0.55
    POSITIVE LOGITS
    liest
    1.14
    lihood
    1.06
    hots
    0.81
    liness
    0.78
    creen
    0.77
    lier
    0.77
    wikipedia
    0.74
    paces
    0.72
     of
    0.70
    minded
    0.69
    Activations Density 0.027%

    No Known Activations