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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. 2-RES-JB
    11. 18768
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    Explanations

    phrases indicating a decrease or comparison in quantity

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a reduction or decrease in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Draft
    -0.80
    Origin
    -0.77
    ãĤ±
    -0.76
    DK
    -0.74
    MA
    -0.71
    ULT
    -0.71
    ORY
    -0.71
    TRY
    -0.70
     Origins
    -0.69
    FK
    -0.68
    POSITIVE LOGITS
     than
    1.21
     stringent
    0.89
    ened
    0.84
    than
    0.83
     forgiving
    0.82
     conspicuous
    0.80
     costly
    0.79
    ening
    0.78
     aggressive
    0.77
     intrusive
    0.76
    Activations Density 0.037%

    No Known Activations