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    1. Home
    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. 14104
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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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    Negative Logits
    utical
    -0.82
    代
    -0.80
    ãĤ¶
    -0.76
    Ö¼
    -0.74
    stood
    -0.71
    uca
    -0.70
    uct
    -0.70
    ismo
    -0.68
    pillar
    -0.67
    series
    -0.66
    POSITIVE LOGITS
     Close
    0.86
     Thumbnails
    0.77
     SHARES
    0.75
    ################################
    0.65
     Annotations
    0.65
     Than
    0.65
     arming
    0.64
     Cait
    0.64
     Shutdown
    0.61
     Freeze
    0.61
    Activations Density 0.016%

    No Known Activations