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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. 8-RES-JB
    11. 8590
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    Explanations

    words related to political and economic topics

    oai_token-act-pair · gpt-3.5-turbo

    references to governance and social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¬¼
    -0.81
    ALSE
    -0.66
     teasp
    -0.63
    illet
    -0.63
    uthor
    -0.62
    ĺħ
    -0.60
    ĪĴ
    -0.58
    Þ
    -0.57
    opol
    -0.56
    atars
    -0.56
    POSITIVE LOGITS
    than
    1.90
     than
    1.90
     Than
    1.22
     compared
    1.19
     versus
    0.78
    "],
    0.77
     relative
    0.73
     lately
    0.67
    higher
    0.65
    nor
    0.63
    Activations Density 0.801%

    No Known Activations