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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. 1-RES-JB
    11. 2078
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    INDEX
    Explanations

    mentions of specific categories or classifications

    oai_token-act-pair · gpt-3.5-turbo

    references to various categories or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RIS
    -0.79
    bats
    -0.73
     Zimmer
    -0.70
     ultras
    -0.61
     jog
    -0.61
     Livingston
    -0.61
     hypot
    -0.60
     palpable
    -0.59
     Lans
    -0.59
     strained
    -0.58
    POSITIVE LOGITS
    category
    1.17
     category
    1.12
    Category
    1.07
     categories
    1.04
    avia
    0.90
    naire
    0.83
    anguage
    0.82
     Categories
    0.77
    wagon
    0.74
    daq
    0.74
    Activations Density 0.011%

    No Known Activations