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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. 8-RES-JB
    11. 12546
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    Explanations

    professionals and individuals in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various groups of people, particularly in scientific and social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ķ
    -0.70
    OWS
    -0.68
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.67
    Ĥİ
    -0.67
    ãĤ´ãĥ³
    -0.67
    Ł
    -0.64
    Relations
    -0.60
    ĺ
    -0.60
     Relations
    -0.59
     Picks
    -0.59
    POSITIVE LOGITS
     lurking
    0.95
     waiting
    0.92
     vying
    0.84
     available
    0.83
     devoted
    0.82
     involved
    0.79
     circulating
    0.78
     roaming
    0.77
     dedicated
    0.76
     gal
    0.76
    Activations Density 0.234%

    No Known Activations