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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    the name 'Morgan' in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the name "Morgan" in various contexts

    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
    lihood
    -0.79
     vested
    -0.70
    èª
    -0.69
     Carbuncle
    -0.68
    ================================================================
    -0.68
    udeb
    -0.67
    ľ
    -0.67
    cknowled
    -0.65
    ract
    -0.65
    sets
    -0.64
    POSITIVE LOGITS
    dale
    0.87
     Chase
    0.85
     Morgan
    0.84
    igans
    0.80
    itic
    0.80
    gage
    0.79
    Morgan
    0.75
    ipedia
    0.74
     Stanley
    0.74
    imet
    0.73
    Activations Density 0.007%

    No Known Activations