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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 20459
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    Explanations

    phrases that intensify a statement by emphasizing the literal truth of a situation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "literally" to emphasize statements

    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
    ies
    -0.84
    icipated
    -0.78
    tein
    -0.73
    ongyang
    -0.70
    winner
    -0.68
    ramid
    -0.67
    alez
    -0.67
    anim
    -0.66
    sonian
    -0.64
    rial
    -0.64
    POSITIVE LOGITS
     literally
    0.72
    Ń·
    0.71
    terday
    0.71
    ength
    0.70
     Literally
    0.69
    zona
    0.67
    literally
    0.67
    ãĤ§
    0.65
    qqa
    0.64
     kidding
    0.63
    Activations Density 0.006%

    No Known Activations