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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. 23536
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    Explanations

    important terms or names related to politics and government

    oai_token-act-pair · gpt-3.5-turbo

    sections of text that are empty or contain no relevant content

    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
    Doc
    -0.67
    renheit
    -0.65
    nat
    -0.64
    xxxx
    -0.62
    Pure
    -0.62
    Base
    -0.61
    oine
    -0.61
    ividually
    -0.59
    ratch
    -0.59
    ëĭ
    -0.59
    POSITIVE LOGITS
     Rohingya
    0.80
     renewables
    0.79
     Corbyn
    0.76
    amacare
    0.76
     Rouhani
    0.74
     NHS
    0.73
     airstrikes
    0.73
     Labour
    0.73
     Tories
    0.73
     Brexit
    0.72
    Activations Density 1.057%

    No Known Activations