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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. 12830
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    INDEX
    Explanations

    emphasized or impactful words

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "words" and their significance

    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
    izo
    -0.77
    roxy
    -0.73
    ramid
    -0.68
    emonium
    -0.65
    enture
    -0.64
     Issue
    -0.64
    romeda
    -0.64
    ño
    -0.64
    roid
    -0.63
    ©¶æ¥µ
    -0.63
    POSITIVE LOGITS
    mith
    1.57
     spoken
    1.19
     uttered
    1.12
    press
    0.93
     aloud
    0.91
     words
    0.90
    sworth
    0.88
    speak
    0.88
    writers
    0.86
    poons
    0.82
    Activations Density 0.031%

    No Known Activations