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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. 15328
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    INDEX
    Explanations

    mentions of specific numbers or rankings

    oai_token-act-pair · gpt-3.5-turbo

    the definite article "the" in various contexts

    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
    âĢİ
    -0.73
    leeve
    -0.67
    Joined
    -0.66
     Akin
    -0.62
     Fiona
    -0.62
    fulness
    -0.60
    èª
    -0.60
     Gohan
    -0.59
    chu
    -0.59
    imaru
    -0.58
    POSITIVE LOGITS
     aforementioned
    0.97
     latter
    0.95
     heaviest
    0.92
     same
    0.87
     smallest
    0.84
     largest
    0.81
     proverbial
    0.81
     highest
    0.79
     utmost
    0.79
     worst
    0.79
    Activations Density 0.360%

    No Known Activations