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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. 1162
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    Explanations

    the name "Kate" mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Kate."

    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
    ensed
    -0.84
    oresc
    -0.83
    cffff
    -0.81
    notation
    -0.80
    iple
    -0.78
    ornia
    -0.77
    ribution
    -0.77
    orescence
    -0.76
    ATIONS
    -0.76
    cipl
    -0.75
    POSITIVE LOGITS
     Upton
    1.06
     McCann
    0.93
     Wins
    0.92
     Stein
    0.87
     Turner
    0.86
     Moss
    0.84
     Fisher
    0.83
     Kane
    0.82
     Mara
    0.82
    vich
    0.82
    Activations Density 0.008%

    No Known Activations