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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. 8-RES-JB
    11. 22316
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    Explanations

    text snippets indicating a plan or action to address something in the future

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "later."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pwr
    -0.83
    ³³³³³³³³³³³³³³³³
    -0.69
    Merit
    -0.68
    PORT
    -0.66
    ³³³³³³³³
    -0.66
    efe
    -0.63
    advertisement
    -0.62
    Pri
    -0.61
    HY
    -0.61
    waukee
    -0.60
    POSITIVE LOGITS
    ally
    1.12
     generations
    0.95
    iations
    0.94
    etheless
    0.92
     iterations
    0.90
     stages
    0.88
    ality
    0.87
     phases
    0.85
    iation
    0.84
     installments
    0.82
    Activations Density 0.040%

    No Known Activations