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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. 6681
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    INDEX
    Explanations

    phrases related to specific actions or tasks that need to be completed

    oai_token-act-pair · gpt-3.5-turbo

    references to specific settings or contexts within narratives

    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
    ities
    -0.76
     channels
    -0.68
     piles
    -0.66
    iencies
    -0.61
    lees
    -0.61
    bats
    -0.60
    annels
    -0.60
     establishments
    -0.59
    riages
    -0.59
    inas
    -0.59
    POSITIVE LOGITS
     titled
    0.67
    lished
    0.62
     consisting
    0.59
    slot
    0.58
    İĭ
    0.57
     resembling
    0.57
    pload
    0.57
    ressor
    0.56
    ogram
    0.56
    racuse
    0.56
    Activations Density 0.839%

    No Known Activations