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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9386
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    Explanations

    accusations or situations involving specific individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals and groups involved in legal or criminal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.91
     ********************************
    -0.78
    ,,,,,,,,
    -0.74
    FontSize
    -0.72
     Anyway
    -0.71
    rising
    -0.70
    etting
    -0.69
    ":"/
    -0.69
    æĺ¯
    -0.68
     ILCS
    -0.67
    POSITIVE LOGITS
     accidentally
    1.14
     failed
    1.13
     intervened
    1.12
     withdrew
    1.10
     unexpectedly
    1.03
     mistakenly
    1.03
     refused
    1.02
     suddenly
    1.02
     interfered
    1.01
     blew
    0.99
    Activations Density 0.409%

    No Known Activations