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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. 22954
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    INDEX
    Explanations

    statistical results and correlations in scientific research texts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical significance or associations in research findings

    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
    quer
    -0.84
    adobe
    -0.83
    visors
    -0.75
    raphics
    -0.73
    ysc
    -0.72
    ittees
    -0.70
    soever
    -0.70
    wered
    -0.70
    ride
    -0.69
    terday
    -0.68
    POSITIVE LOGITS
     correlation
    1.61
     similarities
    1.58
     correlations
    1.43
     heterogeneity
    1.40
     discrepancies
    1.40
     similarity
    1.39
     discrepancy
    1.36
     differences
    1.33
     inconsistency
    1.32
     overlap
    1.29
    Activations Density 0.342%

    No Known Activations