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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. 11-RES-JB
    11. 13789
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    Explanations

    references to new information or entities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "New"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icent
    -0.65
     thereof
    -0.63
     desired
    -0.62
    ONSORED
    -0.60
    uca
    -0.59
    ilege
    -0.56
     Ãľ
    -0.56
     presently
    -0.56
     breat
    -0.56
    ï¸ı
    -0.55
    POSITIVE LOGITS
    foundland
    1.38
    castle
    1.28
     York
    1.20
     Zealand
    1.15
     Yorkers
    1.14
     Orleans
    1.07
    York
    1.06
     YORK
    1.04
    bie
    1.00
    sp
    0.99
    Activations Density 0.055%

    No Known Activations