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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. 10-RES-JB
    6. 19915
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    Explanations

    text related to names, naming, and naming disputes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate naming or renaming entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     throughput
    -0.84
    wage
    -0.77
    overty
    -0.75
    anasia
    -0.73
    prison
    -0.72
    Progress
    -0.72
     mitigation
    -0.71
    Duration
    -0.71
    capacity
    -0.71
    ileaks
    -0.70
    POSITIVE LOGITS
     naming
    1.76
     nickname
    1.62
     surn
    1.59
     moniker
    1.57
     name
    1.50
     Names
    1.50
     surname
    1.50
     initials
    1.49
     rename
    1.48
     names
    1.47
    Activations Density 0.766%

    No Known Activations