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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. 9-RES-JB
    11. 1711
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    Explanations

    pronouns with a verb as well as names of people doing actions

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and pronouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endif
    -0.69
     endif
    -0.66
    quartered
    -0.66
    notations
    -0.65
    ugu
    -0.65
    problem
    -0.64
    eers
    -0.63
    âĶģ
    -0.63
     lasts
    -0.63
    orians
    -0.62
    POSITIVE LOGITS
     wrote
    0.96
     embarked
    0.95
     visited
    0.93
     ventured
    0.93
     launched
    0.93
     toured
    0.91
     became
    0.90
     announced
    0.89
     began
    0.88
     tweeted
    0.88
    Activations Density 0.252%

    No Known Activations