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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. 16371
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    Explanations

    mentions of locations in Washington, D.C

    oai_token-act-pair · gpt-3.5-turbo

    references to Washington D.C

    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
     redes
    -0.71
     tyr
    -0.71
    ©¶æ
    -0.68
     trainers
    -0.66
     Temper
    -0.66
     Provided
    -0.65
     TRAN
    -0.65
     Tik
    -0.64
     Spears
    -0.63
     Feed
    -0.62
    POSITIVE LOGITS
    ixie
    1.13
    wayne
    1.01
    enton
    0.95
    sonian
    0.95
    DC
    0.93
    ickson
    0.91
    ashington
    0.90
    imensional
    0.89
    yers
    0.89
    Washington
    0.89
    Activations Density 0.016%

    No Known Activations