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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. 9-RES-JB
    6. 11900
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Trin
    -0.84
     Paran
    -0.78
     Kitty
    -0.77
     Keeper
    -0.74
     behav
    -0.73
     Skin
    -0.71
     paran
    -0.70
     nic
    -0.68
     NIC
    -0.68
     Kin
    -0.66
    POSITIVE LOGITS
    ord
    0.97
    ipp
    0.91
    ords
    0.90
    redits
    0.90
    ff
    0.86
    ERT
    0.85
    pless
    0.80
    lect
    0.80
    inguished
    0.80
    Philipp
    0.80
    Activations Density 0.272%

    No Known Activations