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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. 16565
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    Explanations

    numerical values or percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
    ebin
    -0.79
    acas
    -0.74
    eve
    -0.72
    inventoryQuantity
    -0.70
    terday
    -0.68
    amon
    -0.67
    atel
    -0.67
     Mehran
    -0.67
    ãĤ·ãĥ£
    -0.65
    undai
    -0.65
    POSITIVE LOGITS
    β
    1.02
     âĪĴ
    1.00
     âī¥
    1.00
     ±
    1.00
    âĪĴ
    1.00
    âĢIJ
    1.00
    âĢł
    0.99
     âĪ¼
    0.97
    –
    0.93
     âī
    0.91
    Activations Density 0.219%

    No Known Activations