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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 6786
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "tree" in various contexts

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

    No Comments

    Negative Logits
    enegger
    -0.87
     specificity
    -0.74
    ictive
    -0.72
     Mongolia
    -0.67
     Manson
    -0.63
    inelli
    -0.61
    ulators
    -0.61
    ancial
    -0.61
    ulative
    -0.60
    ãĤ¢ãĥ«
    -0.60
    POSITIVE LOGITS
    pee
    1.04
    pees
    1.00
    bling
    0.95
    ree
    0.86
    lee
    0.85
    ks
    0.84
    jah
    0.83
    ce
    0.83
    ffe
    0.83
    bles
    0.82
    Activations Density 0.013%

    No Known Activations