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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. 8-RES-JB
    11. 1045
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    statements regarding clarity and uncertainty in contexts, particularly related to future events or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    seless
    -0.63
     pearl
    -0.63
     Godd
    -0.62
     misogyn
    -0.60
    odied
    -0.59
     Femin
    -0.59
    femin
    -0.58
     discriminated
    -0.57
     blasphemy
    -0.57
     superiority
    -0.57
    POSITIVE LOGITS
     timetable
    1.08
     deadlines
    0.90
     tentative
    0.89
     deadline
    0.88
     2019
    0.86
     timeframe
    0.82
     TBD
    0.82
     uncertainties
    0.81
     roadmap
    0.80
     TBA
    0.80
    Activations Density 1.437%

    No Known Activations