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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. 2397
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    Explanations

    phrases related to social issues and policies, such as tax avoidance, clean water access, and challenging convictions in court

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to obligations and responsibilities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.89
    cember
    -0.79
    etheless
    -0.71
     4090
    -0.71
    actly
    -0.70
     Pinball
    -0.68
    âľ
    -0.68
    luaj
    -0.67
    thank
    -0.66
    MSN
    -0.66
    POSITIVE LOGITS
     their
    1.37
    their
    1.12
     themselves
    1.02
     perceived
    0.90
     traditional
    0.89
     prevailing
    0.87
     local
    0.85
     existing
    0.85
     societal
    0.85
     them
    0.84
    Activations Density 0.671%

    No Known Activations