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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. 0-RES-JB
    11. 8098
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    Explanations

    mentions of organizations or entities such as "Amnesty International" and "UEFA" in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to human rights organizations and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ooth
    -0.87
    ooks
    -0.78
    }{
    -0.72
    anooga
    -0.71
    arah
    -0.71
     unit
    -0.69
    omorph
    -0.69
    plot
    -0.67
    clair
    -0.65
     markup
    -0.64
    POSITIVE LOGITS
     UEFA
    3.05
     Amnesty
    2.21
     FIFA
    2.20
     Fifa
    2.16
     UNESCO
    2.10
     Greenpeace
    2.05
     UNHCR
    1.71
     OPEC
    1.69
     FIA
    1.67
     IOC
    1.66
    Activations Density 0.019%

    No Known Activations