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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. 4-RES-JB
    11. 4553
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    Explanations

    the word "meaning" in various contexts and phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of meaning

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

    No Comments

    Negative Logits
    artney
    -0.74
    thumbnails
    -0.74
    incinn
    -0.70
    aliation
    -0.65
    Rush
    -0.65
     Thumbnails
    -0.63
    osterone
    -0.62
    Monitor
    -0.62
    ADS
    -0.62
    owl
    -0.61
    POSITIVE LOGITS
    fully
    1.25
    lessness
    1.05
    fulness
    0.99
     meanings
    0.91
    ful
    0.90
     meaning
    0.85
    hift
    0.84
    lessly
    0.82
    notations
    0.82
     Meaning
    0.79
    Activations Density 0.012%

    No Known Activations