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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. 6-RES-JB
    11. 9734
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    Explanations

    abbreviations related to organizations or entities, specifically those related to investigative reporting

    oai_token-act-pair · gpt-3.5-turbo

    references to the International Consortium of Investigative Journalists (ICIJ) and related organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸
    -0.89
    ments
    -0.75
    */(
    -0.73
    ¶ħ
    -0.71
    ãĥĦ
    -0.71
    selves
    -0.69
     Nanto
    -0.68
    acters
    -0.66
    ãĥī
    -0.66
    witz
    -0.65
    POSITIVE LOGITS
    trl
    1.06
    ANN
    0.95
    entric
    0.94
    ULAR
    0.93
    aucas
    0.93
    ALLY
    0.89
    ENSE
    0.88
    enna
    0.88
    ICLE
    0.87
    IJ
    0.87
    Activations Density 0.018%

    No Known Activations