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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. 2-RES-JB
    11. 8270
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    Explanations

    mentions or references to the name "Hun" or "Huntington"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CBD
    -0.68
     Archdemon
    -0.67
     Byrne
    -0.66
    DCS
    -0.65
     Karin
    -0.63
    oral
    -0.63
     compliment
    -0.62
    AGE
    -0.61
     connecting
    -0.61
    ktop
    -0.60
    POSITIVE LOGITS
    cheon
    1.14
    ters
    1.06
    ches
    1.00
    ting
    1.00
    ger
    0.98
    nam
    0.97
    Hun
    0.93
    ted
    0.92
    gers
    0.91
    lins
    0.91
    Activations Density 0.009%

    No Known Activations