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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. 11-RES-JB
    11. 5287
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    Explanations

    decimal numbers

    oai_token-act-pair · gpt-3.5-turbo

    statements related to numerical values and statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     hemor
    -0.68
     unders
    -0.67
     travelers
    -0.63
     showc
    -0.61
    Orderable
    -0.60
     widest
    -0.59
     enthusi
    -0.59
     brightest
    -0.59
     tro
    -0.58
     undermin
    -0.58
    POSITIVE LOGITS
    0001
    1.92
    005
    1.90
    001
    1.87
    002
    1.82
    004
    1.81
    003
    1.77
    025
    1.76
    006
    1.74
    00000
    1.72
    0002
    1.70
    Activations Density 0.065%

    No Known Activations