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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. 7-RES-JB
    11. 3953
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    Explanations

    numbers and team names related to sports matches

    oai_token-act-pair · gpt-3.5-turbo

    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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FY
    -0.79
    bryce
    -0.73
    rawdownloadcloneembedreportprint
    -0.70
    wikipedia
    -0.70
    icably
    -0.68
    soDeliveryDate
    -0.67
    DragonMagazine
    -0.66
    ÄŁ
    -0.65
     Aad
    -0.65
     Bhar
    -0.64
    POSITIVE LOGITS
    inus
    0.72
    itate
    0.65
     avg
    0.61
     Avg
    0.60
    iox
    0.60
     [+]
    0.60
     âĪ
    0.59
     0
    0.59
    oha
    0.59
     istg
    0.59
    Activations Density 0.053%

    No Known Activations