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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. 12-RES-JB
    11. 3055
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    Explanations

    names of political leaders and locations as well as phrases related to political events and threats

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    prominent names or references to influential figures in political and cultural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    chest
    -0.75
    ï¸ı
    -0.69
     MILL
    -0.60
     BEST
    -0.57
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.57
    antine
    -0.54
    ãĥķãĤ©
    -0.54
     Chop
    -0.53
     basket
    -0.53
    amina
    -0.52
    POSITIVE LOGITS
    isen
    0.83
    tnc
    0.74
    etary
    0.73
    cious
    0.66
    etter
    0.65
    iak
    0.65
    ive
    0.64
    isha
    0.64
    ining
    0.62
    itted
    0.62
    Activations Density 0.259%

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