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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. 11-RES-JB
    6. 14723
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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 @ 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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    Negative Logits
    Americ
    -0.69
     Tray
    -0.63
    ursday
    -0.62
    NES
    -0.61
    pload
    -0.61
    oleon
    -0.59
     arrang
    -0.58
    uese
    -0.58
    rig
    -0.58
    ãĥ¼ãĥĨ
    -0.57
    POSITIVE LOGITS
    .
    0.75
    !
    0.71
    tics
    0.69
    ãĢĤ
    0.67
    âĶĢâĶĢ
    0.67
    ,
    0.65
    !.
    0.65
     --
    0.65
    .,
    0.65
    abouts
    0.64
    Activations Density 0.259%

    No Known Activations