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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. 4-RES-JB
    11. 16697
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    Explanations

    specific terms related to industry, especially when they are emphasized or repeated

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to industry and official announcements

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

    No Comments

    Negative Logits
    enegger
    -0.82
     Samurai
    -0.75
     Shed
    -0.73
     è£ıè¦ļéĨĴ
    -0.70
     Brach
    -0.70
    knife
    -0.68
     Panther
    -0.67
     PTSD
    -0.67
    strap
    -0.66
    cloth
    -0.66
    POSITIVE LOGITS
    inates
    1.13
    ī
    1.05
    ¢
    1.01
    rative
    0.96
    «
    0.94
    rial
    0.93
    inate
    0.93
    ination
    0.90
    ries
    0.87
    rates
    0.87
    Activations Density 0.023%

    No Known Activations