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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. 10-RES-JB
    11. 6175
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    Explanations

    phrases related to social and economic improvement, such as education, economic opportunity, quality of life, and working conditions

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social equity and economic improvement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    analy
    -0.73
    £ı
    -0.71
    ãĤ©
    -0.68
     pus
    -0.66
    RFC
    -0.64
     actionGroup
    -0.61
    afort
    -0.60
    Analy
    -0.60
    ãĥį
    -0.58
     kinetic
    -0.58
    POSITIVE LOGITS
     among
    0.99
     amongst
    0.99
     for
    0.90
     Venezuel
    0.86
     inmates
    0.85
    among
    0.82
     enjoyed
    0.80
     recipients
    0.80
     Britons
    0.80
     Filip
    0.79
    Activations Density 0.430%

    No Known Activations