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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. 1-RES-JB
    11. 10237
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    INDEX
    Explanations

    numerical values related to activities or accomplishments

    oai_token-act-pair · gpt-3.5-turbo

    references to online activity and user engagement statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udging
    -0.80
    uten
    -0.75
     deaf
    -0.75
     reconciliation
    -0.73
     eyewitness
    -0.71
     fair
    -0.70
     tongue
    -0.70
     whisk
    -0.69
    oths
    -0.69
     stricken
    -0.68
    POSITIVE LOGITS
    Activity
    1.34
     Activity
    1.08
    âĸ¬
    1.01
    ukong
    0.98
     Skydragon
    0.97
     Profile
    0.85
     Controls
    0.82
     Gems
    0.81
     Activities
    0.81
     Colo
    0.81
    Activations Density 0.031%

    No Known Activations