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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. 10-RES-JB
    11. 7944
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    INDEX
    Explanations

    significant numerical quantities and statistics

    oai_token-act-pair · gpt-3.5-turbo

    references to statistics and metrics related to views, purchases, and community impact

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.69
    kat
    -0.67
    liction
    -0.65
    fml
    -0.61
    dayName
    -0.58
    SpaceEngineers
    -0.57
    govtrack
    -0.56
    eve
    -0.55
    inventoryQuantity
    -0.55
    oslav
    -0.54
    POSITIVE LOGITS
     250
    1.51
     150
    1.50
     160
    1.48
     500
    1.47
     700
    1.47
     175
    1.47
     400
    1.46
     350
    1.46
     300
    1.45
     450
    1.45
    Activations Density 1.034%

    No Known Activations