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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. 2-RES-JB
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    Explanations

    the word "mere" in various contexts

    oai_token-act-pair · gpt-4-turbo

    instances of the word "mere" followed by a number indicating importance or significance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mere" to emphasize insignificance or triviality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.78
    lain
    -0.76
     largeDownload
    -0.70
     admired
    -0.69
     disbanded
    -0.68
     Remastered
    -0.67
     Lawyers
    -0.66
    ocker
    -0.66
    illas
    -0.63
     notor
    -0.61
    POSITIVE LOGITS
     mortals
    1.01
     mere
    0.84
     guiActiveUn
    0.78
    ãĥ¬
    0.76
     token
    0.73
    reet
    0.73
     innocuous
    0.71
     coincidence
    0.68
    ãĥ©ãĥ³
    0.67
    ton
    0.67
    Activations Density 0.004%

    No Known Activations