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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. 8-RES-JB
    11. 1943
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas and parentheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ire
    -0.81
    izen
    -0.74
    yon
    -0.73
    oward
    -0.71
    reprene
    -0.70
    rio
    -0.70
    ãĥ¯ãĥ³
    -0.69
    vae
    -0.68
    ong
    -0.64
    ãĥ¼ãĤ¯
    -0.64
    POSITIVE LOGITS
     however
    1.37
     though
    1.31
     although
    1.21
     but
    1.08
     whereas
    1.04
     hence
    0.94
     therefore
    0.92
     thus
    0.92
     prompting
    0.91
     albeit
    0.91
    Activations Density 0.474%

    No Known Activations