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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. 6-RES-JB
    11. 17751
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    Explanations

    adjectives describing size

    oai_token-act-pair · gpt-3.5-turbo

    adjectives describing size or scale

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.81
    actionDate
    -0.80
    manship
    -0.78
    anship
    -0.77
    RP
    -0.76
    proven
    -0.73
    alysis
    -0.73
    termination
    -0.73
    âĸ¬
    -0.72
     Assass
    -0.72
    POSITIVE LOGITS
     intestine
    1.15
     sized
    1.09
     rectangular
    1.05
     bulky
    1.00
     chunks
    1.00
     cyl
    0.91
     stature
    0.91
     diameter
    0.90
     chunk
    0.89
     oversized
    0.88
    Activations Density 0.107%

    No Known Activations