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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. 10569
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    Explanations

    sentences where the phrase "one thing that" is used to introduce a main point or observation

    oai_token-act-pair · gpt-3.5-turbo

    phrases beginning with "one thing that" or similar constructions indicating a specific point or observation

    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
    arus
    -0.78
    unctions
    -0.70
    uci
    -0.69
    eps
    -0.68
    zzy
    -0.66
    renheit
    -0.65
    osph
    -0.64
    liv
    -0.64
    ceans
    -0.64
    blast
    -0.64
    POSITIVE LOGITS
     distinguishing
    0.72
    \":
    0.66
     determining
    0.66
     strang
    0.66
     excludes
    0.65
     downside
    0.64
     difference
    0.63
     common
    0.62
     interest
    0.62
    uman
    0.61
    Activations Density 0.291%

    No Known Activations