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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. 6125
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    Explanations

    dates and events mentioned in a news context

    oai_token-act-pair · gpt-3.5-turbo

    the presence of specific characters or special symbols

    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
     sacrific
    -0.99
     pyramid
    -0.77
    efficients
    -0.73
     clever
    -0.71
     geographically
    -0.71
     weave
    -0.71
     synerg
    -0.70
     vulner
    -0.69
     favoured
    -0.69
     triangle
    -0.68
    POSITIVE LOGITS
    iversary
    1.55
    December
    1.07
    day
    1.05
    ï¸ı
    1.03
    October
    1.02
    ember
    1.01
    2014
    1.01
    January
    1.00
    days
    0.97
    ruary
    0.96
    Activations Density 0.109%

    No Known Activations