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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. 7-RES-JB
    11. 13867
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    Explanations

    proper nouns or names, particularly those referring to people or places, preceded by the word "briefly"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "briefly."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IRO
    -0.73
    Absolutely
    -0.69
    atu
    -0.68
    massive
    -0.68
    DIT
    -0.68
    Reviewer
    -0.67
    Ãį
    -0.64
    rite
    -0.63
    Simple
    -0.62
    Smart
    -0.61
    POSITIVE LOGITS
     glimps
    1.13
     interrupted
    0.91
     separated
    0.83
     glance
    0.83
    mares
    0.83
     glimpse
    0.80
     flashed
    0.79
     stint
    0.79
     bursts
    0.79
     briefly
    0.77
    Activations Density 0.025%

    No Known Activations