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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. 4132
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    Explanations

    phrases related to paying attention

    oai_token-act-pair · gpt-3.5-turbo

    instances of phrases emphasizing the need to "pay attention."

    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
    vati
    -0.71
    hent
    -0.71
    apeshifter
    -0.71
    soDeliveryDate
    -0.70
    htaking
    -0.69
     depended
    -0.66
    DH
    -0.65
    loo
    -0.65
     elig
    -0.65
    efficients
    -0.64
    POSITIVE LOGITS
    othy
    0.73
     ensure
    0.72
    ffee
    0.67
    wing
    0.67
     Parables
    0.67
     polish
    0.64
     detail
    0.64
    osi
    0.63
    asted
    0.62
     minimize
    0.62
    Activations Density 0.104%

    No Known Activations