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    1. Home
    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. 15382
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific people, particularly those with the names "He" and "She."

    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
    etheless
    -0.96
    OPLE
    -0.73
     Cummings
    -0.64
     dotted
    -0.64
     grav
    -0.63
     quo
    -0.63
    WAYS
    -0.63
     needles
    -0.63
     stiffness
    -0.60
    terday
    -0.59
    POSITIVE LOGITS
    oran
    1.02
    ussie
    0.93
    chel
    0.89
    omer
    0.89
    oka
    0.88
    iber
    0.87
    itzer
    0.86
    mans
    0.84
    alf
    0.84
    alt
    0.83
    Activations Density 0.145%

    No Known Activations