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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. 413
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    INDEX
    Explanations

    names of sports teams or sports-related terms including draft picks and rankings

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical rankings or statistics

    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
    staking
    -0.61
     entitle
    -0.60
     pear
    -0.60
     enthus
    -0.59
     trave
    -0.59
     behavi
    -0.55
     theology
    -0.54
     lag
    -0.54
     cath
    -0.54
     unden
    -0.54
    POSITIVE LOGITS
     1
    1.12
     2
    1.00
    1
    0.97
     3
    0.95
     4
    0.92
     8
    0.91
     7
    0.90
     6
    0.89
     5
    0.89
     9
    0.88
    Activations Density 0.022%

    No Known Activations