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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. 1516
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    Explanations

    dates or time-related information specified in the document

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" signaling locations or 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
    Choice
    -0.71
    hirt
    -0.68
     someday
    -0.68
    amins
    -0.67
    BILITIES
    -0.66
    anchester
    -0.65
    UTF
    -0.64
    username
    -0.63
     abound
    -0.63
    ¤
    -0.63
    POSITIVE LOGITS
     Nanto
    0.85
     conjunction
    0.84
     commem
    0.80
     Tokyo
    0.80
     Wonderland
    0.77
     accordance
    0.75
     Korea
    0.73
     Southeast
    0.72
    jury
    0.70
     Sag
    0.70
    Activations Density 0.368%

    No Known Activations