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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. 9501
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    Explanations

    phrases related to various scientific disciplines and terms

    oai_token-act-pair · gpt-3.5-turbo

    references to science 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
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    No Comments

    Negative Logits
     Seasons
    -0.73
    âĢ¢âĢ¢
    -0.67
    leased
    -0.66
    ometown
    -0.65
    LOAD
    -0.64
    ivalent
    -0.64
    pora
    -0.63
    doms
    -0.63
    ESH
    -0.63
     Shades
    -0.63
    POSITIVE LOGITS
     fiction
    1.24
     Fiction
    1.13
    craft
    0.84
     literacy
    0.83
     science
    0.83
    mong
    0.82
    science
    0.80
    icist
    0.79
    fiction
    0.79
    istry
    0.78
    Activations Density 0.030%

    No Known Activations