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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. 2784
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    INDEX
    Explanations

    numeric information related to quantities and comparisons

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference surveys or data collection involving large sample sizes

    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
     sooner
    -0.73
    inventoryQuantity
    -0.65
    EStreamFrame
    -0.62
     nob
    -0.59
     Quote
    -0.59
     nep
    -0.59
     Tues
    -0.57
     sucks
    -0.56
     refers
    -0.56
     bumped
    -0.55
    POSITIVE LOGITS
     dozen
    1.48
    dozen
    1.33
    undreds
    1.06
     hundred
    1.06
     350
    1.02
     400
    0.98
     200
    0.97
     450
    0.96
     thousand
    0.96
     170
    0.96
    Activations Density 0.186%

    No Known Activations