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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. 7-RES-JB
    11. 11489
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    Explanations

    proper nouns or specific terms related to locations or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Or" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.60
    enthal
    -0.60
    ptoms
    -0.58
    BOOK
    -0.58
    enment
    -0.58
     contrad
    -0.57
    beard
    -0.57
    ãĤ¼ãĤ¦ãĤ¹
    -0.57
     EDITION
    -0.56
     Rampage
    -0.56
    POSITIVE LOGITS
    chid
    1.32
    phans
    1.30
    leans
    1.28
    chard
    1.28
    lando
    1.28
    thodox
    1.23
    phan
    1.22
    acles
    1.21
    acle
    1.20
    Else
    1.16
    Activations Density 0.029%

    No Known Activations