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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. 3-RES-JB
    11. 17617
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    Explanations

    words related to attracting or drawing in something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of attraction or drawing in interest

    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
    hal
    -0.69
    nia
    -0.62
    dam
    -0.62
    jab
    -0.61
    phrine
    -0.60
    orah
    -0.60
    FT
    -0.60
    д
    -0.59
     surviving
    -0.59
    ricia
    -0.59
    POSITIVE LOGITS
     attract
    0.96
     attracts
    0.94
     attractions
    0.88
     attracted
    0.86
    entious
    0.81
     attraction
    0.80
    GGGGGGGG
    0.80
     attracting
    0.77
    itives
    0.76
    rament
    0.76
    Activations Density 0.012%

    No Known Activations