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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. 9-RES-JB
    11. 22654
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    Explanations

    terms related to time and numerical quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating future expectations or predictions

    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
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    No Comments

    Negative Logits
     rhy
    -0.56
     Comment
    -0.51
     Ranking
    -0.48
     Morse
    -0.47
     hasht
    -0.47
     transcript
    -0.46
     dB
    -0.45
     Nanto
    -0.45
     chalk
    -0.45
     lessons
    -0.45
    POSITIVE LOGITS
    ãĥ¼ãĥĨãĤ£
    0.61
    obs
    0.60
    ainer
    0.59
    ullivan
    0.59
    ãĥ¼ãĥ«
    0.59
    MpServer
    0.58
    amaz
    0.58
    amount
    0.58
    enture
    0.58
    userc
    0.58
    Activations Density 0.975%

    No Known Activations