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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. 11-RES-JB
    11. 12052
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    Explanations

    names or references to titles and nicknames within a context of naming people, objects, or entities

    oai_token-act-pair · gpt-3.5-turbo

    references to names and nicknames within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     throughput
    -0.85
    Progress
    -0.82
    Activity
    -0.77
    capacity
    -0.71
    EStreamFrame
    -0.68
    flow
    -0.67
    stim
    -0.67
    apses
    -0.67
     stimulated
    -0.67
    raf
    -0.67
    POSITIVE LOGITS
     naming
    1.79
     surn
    1.76
     names
    1.71
     surname
    1.69
     nickname
    1.68
     Names
    1.65
     nick
    1.62
     name
    1.62
    Names
    1.59
    names
    1.58
    Activations Density 0.595%

    No Known Activations