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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. 6-RES-JB
    11. 7365
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    INDEX
    Explanations

    mentions of cultural or habitual practices and customs

    oai_token-act-pair · gpt-3.5-turbo

    references to tradition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arling
    -0.68
    Drug
    -0.67
    psy
    -0.66
    ombie
    -0.63
    rencies
    -0.62
    pod
    -0.60
    hhhh
    -0.57
    Zero
    -0.57
    rator
    -0.57
     cushion
    -0.56
    POSITIVE LOGITS
     tradition
    1.07
     traditions
    0.97
    arily
    0.96
    uality
    0.88
     Tradition
    0.87
     Revival
    0.75
     ingrained
    0.75
    icity
    0.74
     heritage
    0.74
    lore
    0.73
    Activations Density 0.018%

    No Known Activations