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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. 12479
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    Explanations

    information or references to op-eds

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "op-ed" and related writing formats

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ¶ħ
    -0.77
     Galileo
    -0.77
     Arabia
    -0.73
    auga
    -0.71
    ãĤ£
    -0.70
     Suc
    -0.67
    ãĥ¯ãĥ³
    -0.67
     KDE
    -0.66
    wagen
    -0.66
     Macintosh
    -0.65
    POSITIVE LOGITS
    iates
    1.06
    onent
    1.04
    osite
    1.00
    orter
    0.98
    iate
    0.97
    inion
    0.91
    rog
    0.90
    ressor
    0.89
    osition
    0.88
    elt
    0.88
    Activations Density 0.009%

    No Known Activations