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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. 7-RES-JB
    11. 17966
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    Explanations

    hyphenated words

    oai_token-act-pair · gpt-3.5-turbo

    references to side effects and aspects related to gaming contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    apest
    -0.77
    STER
    -0.75
    netflix
    -0.74
    iston
    -0.73
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
    ãģ®éŃĶ
    -0.63
    STEM
    -0.63
    wcs
    -0.63
    ãĤ¼ãĤ¦ãĤ¹
    -0.62
    æ³
    -0.62
    POSITIVE LOGITS
    effects
    0.82
    rollers
    0.80
    side
    0.68
     noses
    0.66
     perspective
    0.65
    itol
    0.62
     thirds
    0.61
    view
    0.61
     perspectives
    0.61
    draw
    0.61
    Activations Density 0.061%

    No Known Activations