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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. 8805
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    INDEX
    Explanations

    mentions of "Infowars"

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to information dissemination and media

    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
     Rolls
    -0.72
    ĸļ
    -0.70
     action
    -0.64
     blinded
    -0.58
     bom
    -0.58
     cones
    -0.58
    Äĩ
    -0.57
     Broad
    -0.57
    ãĤ´ãĥ³
    -0.57
     uninterrupted
    -0.56
    POSITIVE LOGITS
    iband
    1.00
    owship
    0.93
    ructure
    0.91
    essim
    0.89
    uating
    0.81
    luster
    0.80
    uations
    0.77
    enz
    0.77
    athom
    0.77
    renheit
    0.76
    Activations Density 0.076%

    No Known Activations