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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. 14231
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    INDEX
    Explanations

    city names along with their associated population numbers

    oai_token-act-pair · gpt-3.5-turbo

    combinations of numerical values and statistics

    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
     newsp
    -0.66
     firsthand
    -0.64
     FW
    -0.62
     goof
    -0.59
     Urug
    -0.56
     Acts
    -0.55
     Volks
    -0.55
     enthus
    -0.54
     Emacs
    -0.54
     nailed
    -0.54
    POSITIVE LOGITS
    048
    1.28
    040
    1.28
    050
    1.27
    045
    1.27
    052
    1.26
    980
    1.26
    820
    1.25
    620
    1.25
    044
    1.24
    900
    1.24
    Activations Density 0.097%

    No Known Activations