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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. 8-RES-JB
    11. 11988
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    Explanations

    instances of excessive or undue use of force or influence

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to excessive use or application of force or other actions, especially in a legal or regulatory context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rooms
    -0.90
    ector
    -0.86
    stones
    -0.85
    stone
    -0.81
    ect
    -0.79
    imore
    -0.77
    ians
    -0.76
    iens
    -0.76
    ois
    -0.75
    ienne
    -0.75
    POSITIVE LOGITS
     burdens
    0.96
     burden
    0.96
     reliance
    0.90
     duplication
    0.85
     excessive
    0.83
     aggressive
    0.83
     simplistic
    0.80
     indul
    0.78
     infl
    0.78
     wasteful
    0.76
    Activations Density 0.111%

    No Known Activations