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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. 6-RES-JB
    6. 1807
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    Explanations

    phrases that start with the abbreviation "R." referring to various contexts and topics

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and numerical identifiers in references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    ernel
    -0.70
    lehem
    -0.69
    anos
    -0.67
    rosso
    -0.67
    Spread
    -0.66
    nown
    -0.66
    ãĥ¼ãĤ¯
    -0.64
    wcs
    -0.64
    userc
    -0.64
    POSITIVE LOGITS
    kefeller
    0.83
    backer
    0.79
    ansom
    0.78
    inking
    0.62
    upt
    0.62
     sshd
    0.60
    icer
    0.59
    emption
    0.59
    Balt
    0.59
    imentary
    0.58
    Activations Density 0.075%

    No Known Activations