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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. 11-RES-JB
    11. 1190
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    INDEX
    Explanations

    quantitative information such as numbers, figures, statistics, and percentages

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to polls and surveys

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Thumbnails
    -0.78
    due
    -0.75
    inventoryQuantity
    -0.70
    ammy
    -0.69
    owler
    -0.69
    killing
    -0.67
    redits
    -0.67
    Behind
    -0.66
    HCR
    -0.65
    cru
    -0.64
    POSITIVE LOGITS
     respondents
    1.16
     randomly
    1.14
     undergrad
    1.02
     participants
    0.96
     prospective
    0.96
     undergraduate
    0.96
     randomized
    0.91
     adults
    0.89
     college
    0.88
     survey
    0.87
    Activations Density 0.118%

    No Known Activations