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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 13960
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    oai_token-act-pair · gpt-3.5-turbo

    frequent uses of commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    worldly
    -0.68
    ESE
    -0.65
    Different
    -0.62
    ¬¼
    -0.62
     (>
    -0.61
    ~~~~
    -0.58
    Same
    -0.57
    STEM
    -0.57
    âĶģ
    -0.57
     ',
    -0.57
    POSITIVE LOGITS
     joins
    1.14
     believes
    1.14
     testified
    1.11
     has
    1.10
     insists
    1.09
     denies
    1.08
     withdrew
    1.07
     remembers
    1.07
     admits
    1.06
     says
    1.06
    Activations Density 0.179%

    No Known Activations