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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. 9-RES-JB
    11. 16702
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to development and management processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alys
    -0.77
    aze
    -0.75
    utor
    -0.75
    phas
    -0.73
    olulu
    -0.73
    erb
    -0.72
    oat
    -0.72
    inding
    -0.72
    lahoma
    -0.71
    rax
    -0.70
    POSITIVE LOGITS
     OF
    1.62
     EDITION
    1.56
     WITH
    1.52
     FOR
    1.48
    BOOK
    1.45
    ING
    1.45
     TO
    1.43
     SERVICE
    1.42
    ISM
    1.42
    MENT
    1.41
    Activations Density 0.219%

    No Known Activations