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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. 3-RES-JB
    11. 12875
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to national organizations or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eva
    -0.87
    enger
    -0.81
    heet
    -0.77
    ÙĴ
    -0.76
    MODE
    -0.76
    ttes
    -0.76
    bats
    -0.71
    hou
    -0.70
    strings
    -0.69
    Ħ¢
    -0.68
    POSITIVE LOGITS
     Geographic
    1.04
     Institutes
    0.91
    ity
    0.86
     Institute
    0.85
     Responsibility
    0.82
     Bureau
    0.81
     Convention
    0.80
     Headquarters
    0.78
     Colleg
    0.78
    ized
    0.77
    Activations Density 0.025%

    No Known Activations