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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. 9-RES-JB
    11. 2380
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    Explanations

    phrases related to comparative superlatives, specifically the term "least"

    oai_token-act-pair · gpt-3.5-turbo

    references to "least" or minimal levels of something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ses
    -0.73
    çīĪ
    -0.69
    raltar
    -0.69
    nel
    -0.67
    omics
    -0.66
    hots
    -0.66
    anism
    -0.65
    kas
    -0.64
    stocks
    -0.64
    stru
    -0.64
    POSITIVE LOGITS
     bit
    0.90
     amount
    0.82
     imaginable
    0.82
     intrusive
    0.81
     detectable
    0.80
     conceivable
    0.76
     objectionable
    0.74
    WARE
    0.73
     practicable
    0.72
     expensive
    0.72
    Activations Density 0.030%

    No Known Activations