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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. 19791
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    Explanations

    information indicated by symbols or segments

    oai_token-act-pair · gpt-3.5-turbo

    references to news articles and reports

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aeda
    -0.61
    heit
    -0.60
    lections
    -0.59
    soever
    -0.56
     Catal
    -0.55
     extrad
    -0.54
     4090
    -0.54
    abouts
    -0.53
    alone
    -0.52
    ingham
    -0.52
    POSITIVE LOGITS
    PHOTOS
    0.90
    Scroll
    0.85
    SPONSORED
    0.84
    ADVERTISEMENT
    0.72
    Specifically
    0.71
    Shape
    0.66
    Bus
    0.65
    Story
    0.62
    iqueness
    0.61
    ¶ħ
    0.58
    Activations Density 0.468%

    No Known Activations