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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. 1-RES-JB
    11. 10360
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    Explanations

    actions of forcing or coercion

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "forcing" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.80
     Purpose
    -0.77
     Excellence
    -0.76
     Begin
    -0.72
     Remastered
    -0.70
     Acad
    -0.69
     Machina
    -0.69
     Blessed
    -0.69
    rehens
    -0.69
    ahu
    -0.69
    POSITIVE LOGITS
     forcing
    0.94
     forced
    0.86
     overtime
    0.80
    FontSize
    0.78
     coer
    0.77
     inund
    0.74
     unbeliev
    0.72
     pressuring
    0.71
     unnecessarily
    0.70
     force
    0.70
    Activations Density 0.009%

    No Known Activations