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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. 3-RES-JB
    11. 17237
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    INDEX
    Explanations

    words related to suggestions, implications, or indirect references

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating inference or suggestion

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    thumbnails
    -0.81
    mir
    -0.75
     Reds
    -0.72
     Ern
    -0.69
    ÄŁ
    -0.68
    incinn
    -0.67
    vae
    -0.67
    zanne
    -0.66
    ajo
    -0.65
    unker
    -0.62
    POSITIVE LOGITS
     imply
    1.00
     implied
    0.93
     implies
    0.87
     WARRANT
    0.79
     implying
    0.74
     infer
    0.73
    DonaldTrump
    0.71
     coupling
    0.70
     guiActiveUn
    0.70
    unct
    0.69
    Activations Density 0.013%

    No Known Activations