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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. 6-RES-JB
    11. 7144
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    Explanations

    references to the English language

    oai_token-act-pair · gpt-3.5-turbo

    references to the English language and its usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ertodd
    -0.91
    psy
    -0.87
    onies
    -0.85
    ĸļ
    -0.84
    enges
    -0.84
    pty
    -0.83
    Downloadha
    -0.81
    sites
    -0.79
    ptions
    -0.79
    prus
    -0.78
    POSITIVE LOGITS
    shire
    0.89
     muff
    0.87
     translation
    0.86
     Literature
    0.84
     subtitles
    0.80
     Corpus
    0.78
     translations
    0.77
     Heritage
    0.75
    man
    0.75
     dub
    0.74
    Activations Density 0.019%

    No Known Activations