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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. 6-RES-JB
    6. 18421
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    No Comments

    Negative Logits
    fman
    -0.78
    DERR
    -0.74
    apon
    -0.72
    acons
    -0.69
    usercontent
    -0.69
    idis
    -0.69
    acid
    -0.68
    nih
    -0.68
    ãĤ¤ãĥĪ
    -0.67
     âĢº
    -0.66
    POSITIVE LOGITS
     treaties
    0.82
     treaty
    0.80
     lease
    0.80
     contract
    0.76
     agreement
    0.76
     imprisonment
    0.76
     probation
    0.74
     customary
    0.74
     negotiations
    0.74
     truce
    0.73
    Activations Density 0.086%

    No Known Activations