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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. 10261
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    Explanations

    instances of the word "that"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that use "in that" to introduce explanations or clarifications

    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
    ormons
    -0.71
    Guard
    -0.68
    onto
    -0.66
    rior
    -0.66
    asters
    -0.64
     srfAttach
    -0.63
     Leilan
    -0.63
    quit
    -0.60
    inx
    -0.60
    aciously
    -0.59
    POSITIVE LOGITS
     vein
    0.96
     regard
    0.95
     vicinity
    0.90
     particular
    0.89
     same
    0.89
     fateful
    0.82
     manner
    0.80
     area
    0.78
     circumstance
    0.78
     direction
    0.77
    Activations Density 0.038%

    No Known Activations