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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. 3-RES-JB
    11. 20134
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    Explanations

    proper names, particularly the name "Hannah"

    oai_token-act-pair · gpt-3.5-turbo

    the name "Hannah" and closely related names mentioned in the context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -1.03
    nces
    -0.78
     hypers
    -0.76
    ntil
    -0.75
    atility
    -0.74
     tremend
    -0.73
    Downloadha
    -0.73
     relent
    -0.72
    redo
    -0.71
     buildup
    -0.71
    POSITIVE LOGITS
     Hannah
    1.03
     Montana
    0.95
     Upton
    0.95
     Hanna
    0.91
     Simone
    0.90
    annah
    0.89
     Marie
    0.85
     Wilde
    0.84
     Mae
    0.84
     Brooke
    0.83
    Activations Density 0.011%

    No Known Activations