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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. 16493
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    Explanations

    dates expressed with numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical representations of dates and times

    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
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    No Comments

    Negative Logits
     explan
    -0.61
     Genie
    -0.58
     favoured
    -0.57
     trophies
    -0.55
     advisers
    -0.55
     biome
    -0.53
     ups
    -0.53
     hygiene
    -0.53
     landscapes
    -0.52
     risks
    -0.52
    POSITIVE LOGITS
    rd
    1.28
    nd
    1.27
    st
    1.18
    th
    0.95
    sta
    0.90
    ember
    0.85
    eve
    0.84
    CDC
    0.80
    stice
    0.79
    ND
    0.79
    Activations Density 0.060%

    No Known Activations