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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. 9-RES-JB
    11. 3572
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    actions related to organizing or categorizing items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    akening
    -0.85
    interrupted
    -0.80
    Guard
    -0.72
    ACT
    -0.69
    lov
    -0.66
    Enhanced
    -0.64
    âĹ¼
    -0.63
    once
    -0.62
    feat
    -0.62
    ols
    -0.62
    POSITIVE LOGITS
     hairs
    0.85
     out
    0.81
     incoming
    0.72
    ources
    0.71
     things
    0.70
     dishes
    0.70
    ãĥ³ãĤ¸
    0.69
     into
    0.69
    imore
    0.68
     facts
    0.68
    Activations Density 0.112%

    No Known Activations