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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
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    Explanations

    the name "Roland" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Roland" and its related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Hulk
    -0.69
    inventoryQuantity
    -0.69
     Rangers
    -0.68
     Akron
    -0.66
    âĸijâĸij
    -0.65
     Rockets
    -0.64
     helium
    -0.63
     Tik
    -0.62
     Yankee
    -0.62
     Gael
    -0.61
    POSITIVE LOGITS
     Roland
    0.99
    imir
    0.85
    gements
    0.83
    gments
    0.83
    tone
    0.83
     lapt
    0.82
    stadt
    0.82
     rall
    0.81
    sson
    0.80
     subsequ
    0.80
    Activations Density 0.018%

    No Known Activations