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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. 6388
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    Explanations

    phrases related to apologizing or acknowledging responsibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express inquiry or discussion about events or situations

    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
    etary
    -0.71
    claimer
    -0.71
    ize
    -0.68
    uum
    -0.64
    isons
    -0.64
    verning
    -0.61
    ktop
    -0.61
    pell
    -0.60
    WAYS
    -0.60
    urations
    -0.59
    POSITIVE LOGITS
     happened
    1.88
     transpired
    1.87
     occurred
    1.46
     happ
    1.38
     happens
    1.32
     unfolded
    1.29
     ensued
    1.23
     Happ
    1.16
     went
    1.04
     occurs
    0.96
    Activations Density 0.144%

    No Known Activations