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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. 9-RES-JB
    11. 3644
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    Explanations

    numerical estimations and statistics

    oai_token-act-pair · gpt-3.5-turbo

    statements involving estimates or numerical evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    galitarian
    -0.70
    estamp
    -0.69
    ierre
    -0.66
    onne
    -0.64
    eon
    -0.63
    IVER
    -0.62
    ceans
    -0.61
    å¦
    -0.59
    ĪĴ
    -0.58
    mentioned
    -0.58
    POSITIVE LOGITS
     worth
    0.79
     costing
    0.76
     cost
    0.76
     tens
    0.74
     approximately
    0.73
     TOTAL
    0.72
     fatalities
    0.71
     total
    0.71
     costs
    0.70
     aver
    0.70
    Activations Density 0.249%

    No Known Activations