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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    occurrences of the substring "ou" within larger words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "you."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.90
    女
    -0.81
    è¦ļéĨĴ
    -0.75
    70710
    -0.75
    UTION
    -0.75
    ãĥ¼ãĥ³
    -0.71
    enegger
    -0.71
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
    ãĤ¢ãĥ«
    -0.69
    ãĥŃ
    -0.69
    POSITIVE LOGITS
    reth
    1.05
    lette
    0.97
    seless
    0.93
    rer
    0.88
    chet
    0.87
    levard
    0.87
    ng
    0.86
    mi
    0.86
    rette
    0.84
    vernment
    0.84
    Activations Density 0.010%

    No Known Activations