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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. 7-RES-JB
    11. 3036
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    Explanations

    phrases related to improving the standard of living and socioeconomic conditions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating average or standard metrics related to living conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wcsstore
    -0.88
     sidx
    -0.83
    ãĤ³
    -0.82
    nikov
    -0.77
    é¾įåĸļ士
    -0.77
    daq
    -0.76
    ãĤ¡
    -0.76
    ãĥŃ
    -0.74
    LOD
    -0.73
    etsk
    -0.71
    POSITIVE LOGITS
     Britain
    0.83
     foreigners
    0.81
     countries
    0.80
     Europe
    0.79
     southern
    0.79
     Americans
    0.78
     Britons
    0.78
     rural
    0.77
     industrialized
    0.75
     America
    0.74
    Activations Density 0.558%

    No Known Activations