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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. 3-RES-JB
    6. 1519
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    INDEX
    Explanations

    phrases related to repeated actions or events

    oai_token-act-pair · gpt-3.5-turbo

    the concept of repetition in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emed
    -0.78
    istry
    -0.76
    wit
    -0.75
    sie
    -0.75
    istics
    -0.74
    emen
    -0.71
    ramid
    -0.71
    istical
    -0.70
    ovies
    -0.70
    hest
    -0.70
    POSITIVE LOGITS
     repeats
    0.98
     repetition
    0.97
     repeating
    0.91
     repeated
    0.89
     repeat
    0.85
     occurrences
    0.84
     rounds
    0.82
     offenders
    0.81
     assurances
    0.80
     playthrough
    0.80
    Activations Density 0.016%

    No Known Activations