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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. 10-RES-JB
    11. 4636
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    Explanations

    phrases indicating something will happen at a future time

    oai_token-act-pair · gpt-3.5-turbo

    references to future actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.76
    PORT
    -0.71
    Merit
    -0.68
    ³³³³³³³³³³³³³³³³
    -0.65
    ³³³³³³³³
    -0.65
    HY
    -0.64
     Scal
    -0.62
    cli
    -0.60
    JV
    -0.60
    pecting
    -0.59
    POSITIVE LOGITS
    ally
    1.23
    ality
    0.91
     generations
    0.87
    noon
    0.85
     stages
    0.80
    etheless
    0.80
    aneously
    0.79
     installments
    0.76
     regretted
    0.76
    iated
    0.75
    Activations Density 0.045%

    No Known Activations