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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. 14099
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    Explanations

    terms related to youth and social programs targeting young individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to youth in various contexts

    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
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    No Comments

    Negative Logits
    essen
    -0.74
    ++++++++++++++++
    -0.72
    thus
    -0.72
    ãĤ´ãĥ³
    -0.71
    pard
    -0.70
    ++++++++
    -0.70
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.64
     congr
    -0.64
    âĸĪ
    -0.63
    ×Ļ×
    -0.63
    POSITIVE LOGITS
    fulness
    1.11
    uates
    0.95
     unemployment
    0.92
    sters
    0.91
    ful
    0.87
     gangs
    0.86
     delinqu
    0.84
    doms
    0.81
     ages
    0.80
    fully
    0.80
    Activations Density 0.045%

    No Known Activations