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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. 1-RES-JB
    11. 9019
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce sources or references to information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    76561
    -0.71
    ãĥĨãĤ£
    -0.68
    ARC
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    URRENT
    -0.65
    ãĥŁ
    -0.63
     Cancer
    -0.62
    AMD
    -0.62
     realise
    -0.62
    OUR
    -0.60
    boa
    -0.59
    POSITIVE LOGITS
    hement
    0.85
    chwitz
    0.85
     according
    0.83
    achev
    0.75
    uilt
    0.75
     sources
    0.73
    verty
    0.70
     stru
    0.69
    rity
    0.69
    iosity
    0.68
    Activations Density 0.042%

    No Known Activations