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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. 11-RES-JB
    11. 784
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    INDEX
    Explanations

    mentions of products or concepts related to high-quality or high-performance attributes, often with the term "ultra-"

    oai_token-act-pair · gpt-3.5-turbo

    references to "ultra" as a modifier and its related context in various situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slate
    -0.84
     Origins
    -0.79
     succession
    -0.77
     Creed
    -0.76
     afterwards
    -0.75
     substitution
    -0.74
     induction
    -0.72
     basis
    -0.71
     omission
    -0.71
     arrivals
    -0.71
    POSITIVE LOGITS
    expensive
    1.69
    sensitive
    1.60
    efficient
    1.60
    powerful
    1.55
    conservative
    1.55
    exclusive
    1.53
    easy
    1.51
    aggressive
    1.49
    violent
    1.49
    rich
    1.48
    Activations Density 0.045%

    No Known Activations