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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. 23890
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    Explanations

    phrases related to government agreements and emissions reduction targets

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to environmental policies and emissions reduction goals

    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
    gallery
    -0.76
     Gawker
    -0.74
     disse
    -0.74
     Caldwell
    -0.74
     Afgh
    -0.72
     Huck
    -0.71
     Imran
    -0.71
     SWAT
    -0.70
     Constable
    -0.68
     Barron
    -0.68
    POSITIVE LOGITS
     emissions
    1.44
     emission
    1.38
     2030
    1.35
     Kyoto
    1.27
     reductions
    1.26
     greenhouse
    1.25
     2050
    1.18
     carbon
    1.17
     emit
    1.15
    arbon
    1.14
    Activations Density 0.467%

    No Known Activations