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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. 9-RES-JB
    11. 23235
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    Explanations

    legal and social justice-related terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to societal issues and injustices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    é¾įå
    -0.69
    é¾į
    -0.63
     Parables
    -0.60
     Defin
    -0.58
     suffice
    -0.58
     confir
    -0.55
     whereas
    -0.53
    £ı
    -0.52
    apper
    -0.51
     namely
    -0.49
    POSITIVE LOGITS
     etc
    1.10
    ,...
    0.87
    ,
    0.85
     &
    0.84
     and
    0.82
    etc
    0.80
     ect
    0.80
    -,
    0.74
    âĢ¦)
    0.69
     or
    0.66
    Activations Density 0.658%

    No Known Activations