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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. 4-RES-JB
    11. 1454
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    Explanations

    phrases prompting the reader to examine or consider something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that prompt the reader to examine or reflect on something

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

    No Comments

    Negative Logits
    fortune
    -0.68
    Chart
    -0.65
    claimed
    -0.65
     Methods
    -0.63
    necess
    -0.61
    wine
    -0.61
    death
    -0.61
    âĹ¼
    -0.59
    reddits
    -0.57
    seless
    -0.57
    POSITIVE LOGITS
    ahead
    0.89
    finder
    0.81
    ãĤ¶
    0.80
    otaur
    0.69
    edom
    0.67
     ãĤ
    0.66
    ression
    0.66
     largeDownload
    0.66
    udo
    0.65
    ENE
    0.65
    Activations Density 0.016%

    No Known Activations