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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. 11-RES-JB
    11. 22345
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    Explanations

    phrases related to opposition and criticism of certain legislation or proposals

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to environmental legislation and its implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     msec
    -0.82
    Ï
    -0.82
     Shinji
    -0.81
    ventus
    -0.80
    furt
    -0.77
    opoulos
    -0.77
    coni
    -0.75
    ollah
    -0.74
    obin
    -0.73
     à¤
    -0.73
    POSITIVE LOGITS
     conservation
    1.73
     Wilderness
    1.66
     wetlands
    1.63
     Conservation
    1.57
     wildlife
    1.57
     wilderness
    1.56
     forests
    1.52
     Wildlife
    1.51
     grazing
    1.49
     Yellowstone
    1.45
    Activations Density 0.539%

    No Known Activations