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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. 11761
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    Explanations

    text related to the sustainability and quality of publications

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sustainability and accessible journalism

    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
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    Negative Logits
    pee
    -0.82
    amen
    -0.78
    imer
    -0.77
    iewicz
    -0.74
    anus
    -0.74
    pron
    -0.73
    apego
    -0.73
    pez
    -0.71
    gew
    -0.71
    verages
    -0.70
    POSITIVE LOGITS
     domains
    0.77
     domain
    0.76
    entimes
    0.76
    iframe
    0.72
     strives
    0.68
     sustainable
    0.68
    iphate
    0.67
     journalism
    0.66
     strawberries
    0.66
    æ©
    0.65
    Activations Density 0.091%

    No Known Activations