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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. 6534
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    Explanations

    words related to decision-making or consideration

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to contemplation or consideration of ideas and decisions

    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
     Peaks
    -0.70
    Redditor
    -0.70
    idated
    -0.66
    von
    -0.65
    mint
    -0.62
    ulia
    -0.61
    arb
    -0.58
    icht
    -0.58
    edu
    -0.57
    qqa
    -0.56
    POSITIVE LOGITS
     about
    1.19
     ABOUT
    1.11
     aloud
    1.08
     creatively
    0.96
     critically
    0.96
     twice
    0.96
     differently
    0.88
    about
    0.85
     About
    0.85
     strategically
    0.84
    Activations Density 0.075%

    No Known Activations