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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. 8232
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.84
     crisis
    -0.67
    ery
    -0.64
     advis
    -0.63
    untarily
    -0.62
    conom
    -0.62
     footing
    -0.62
    ideon
    -0.59
    ahu
    -0.59
    ety
    -0.59
    POSITIVE LOGITS
     etc
    1.15
     namely
    1.06
     haha
    1.05
     ie
    1.02
     albeit
    0.99
     aka
    0.98
     preferably
    0.98
     please
    0.91
     regardless
    0.89
     alas
    0.89
    Activations Density 1.149%

    No Known Activations