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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. 10-RES-JB
    11. 5312
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    Explanations

    plural nouns referring to groups of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or quantities of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.82
     srfAttach
    -0.75
    steamapps
    -0.74
    ories
    -0.69
    ãĥ¯
    -0.69
    ãĥĭ
    -0.68
    ãĤ¦
    -0.67
    erenn
    -0.66
     CLR
    -0.66
    COMPLE
    -0.66
    POSITIVE LOGITS
     who
    1.19
     wanna
    0.99
     whom
    0.93
    who
    0.91
     complaining
    0.90
     saying
    0.87
     died
    0.83
     here
    0.82
     gonna
    0.82
     whose
    0.81
    Activations Density 0.282%

    No Known Activations