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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. 23159
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    INDEX
    Explanations

    phrases related to reasoning or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions taken by individuals or groups

    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
     Brittany
    -0.57
    wives
    -0.57
    oris
    -0.57
     Buffalo
    -0.57
    affer
    -0.56
     Portugal
    -0.54
    ofi
    -0.54
    stood
    -0.53
     Sweden
    -0.53
     Bav
    -0.53
    POSITIVE LOGITS
     differently
    1.28
     wisely
    1.06
     sparing
    1.03
     lightly
    1.03
     willingly
    1.01
     cautiously
    0.99
     deliberately
    0.97
     consciously
    0.97
     responsibly
    0.95
     purposefully
    0.92
    Activations Density 0.774%

    No Known Activations