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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. 1757
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    Explanations

    mentions of workforce-related events, such as job losses and reshuffling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to workforce issues and employment challenges

    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
    defense
    -0.96
    Defense
    -0.90
    colored
    -0.85
    )--
    -0.85
    center
    -0.83
    avored
    -0.80
     realize
    -0.78
    .--
    -0.78
     realized
    -0.78
     realizes
    -0.78
    POSITIVE LOGITS
     £
    1.43
     recognised
    1.39
     programmes
    1.39
     programme
    1.38
     paed
    1.36
     ageing
    1.35
     organised
    1.35
     organisation
    1.33
     recognise
    1.33
     organisers
    1.30
    Activations Density 2.309%

    No Known Activations