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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
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    Explanations

    mentions of government officials, particularly ministers

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials or ministers

    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
    feat
    -0.87
    vent
    -0.83
    avery
    -0.72
    ilers
    -0.72
    rights
    -0.71
    eros
    -0.70
    eat
    -0.68
    schild
    -0.67
     rive
    -0.66
    ggles
    -0.65
    POSITIVE LOGITS
    ially
    1.09
    ial
    0.91
     ministers
    0.88
     minister
    0.87
    arians
    0.80
    ials
    0.78
    iate
    0.78
     Minister
    0.77
     Ministers
    0.74
     ministerial
    0.74
    Activations Density 0.027%

    No Known Activations