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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. 7810
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    Explanations

    phrases related to urging or advising action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating direction or action

    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
    quickShipAvailable
    -0.49
     packets
    -0.45
     Ended
    -0.42
    listed
    -0.41
    hops
    -0.41
     Lines
    -0.41
    tun
    -0.40
    hur
    -0.39
     Donation
    -0.39
     surges
    -0.39
    POSITIVE LOGITS
     minimize
    0.81
     accommodate
    0.79
     ensure
    0.78
     maximize
    0.78
    ggles
    0.78
     satisfy
    0.77
     conserve
    0.76
     avoid
    0.75
     give
    0.75
     achieve
    0.75
    Activations Density 0.811%

    No Known Activations