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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. 1384
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions or statements involving individuals, particularly in the context of events or occurrences

    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
    yip
    -0.94
     Maid
    -0.92
     millenn
    -0.92
     Tong
    -0.86
     lime
    -0.84
    ilion
    -0.75
     mango
    -0.75
    icent
    -0.73
    loo
    -0.73
     Minion
    -0.72
    POSITIVE LOGITS
    Sch
    2.71
     Sch
    2.64
    sch
    2.15
     SCH
    1.97
     sch
    1.80
     Schr
    1.68
     Schwe
    1.67
     Schmidt
    1.64
     Schneider
    1.63
     Schw
    1.63
    Activations Density 0.229%

    No Known Activations