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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. 10-RES-JB
    11. 23209
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    Explanations

    phrases indicating negative moral judgment

    oai_token-act-pair · gpt-3.5-turbo

    negative assertions regarding behaviors and actions that should not be tolerated

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wid
    -0.68
     Nine
    -0.62
     Xuan
    -0.60
     Fug
    -0.60
     clears
    -0.58
     FW
    -0.58
     Matrix
    -0.58
     restores
    -0.58
     gist
    -0.58
     Ten
    -0.57
    POSITIVE LOGITS
     underestimated
    0.92
     underestimate
    0.83
     medd
    0.82
    aval
    0.82
     unnecessarily
    0.81
     interfere
    0.80
     rely
    0.79
     blindly
    0.79
     bother
    0.79
     presume
    0.77
    Activations Density 0.105%

    No Known Activations