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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 15985
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    Explanations

    names of individuals giving speeches or addresses

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "address" and related terms indicating speeches or formal communications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     monitoring
    -0.68
     downstream
    -0.68
     increment
    -0.62
     collabor
    -0.61
     lia
    -0.61
     perception
    -0.61
     experimenting
    -0.61
     tolerated
    -0.60
     endanger
    -0.60
     tolerate
    -0.60
    POSITIVE LOGITS
     speeches
    0.99
    itone
    0.86
     aloud
    0.86
    esta
    0.78
    alla
    0.78
     loudly
    0.77
     Speech
    0.75
     keynote
    0.74
    aug
    0.74
     commencement
    0.72
    Activations Density 0.118%

    No Known Activations