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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4748
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    INDEX
    Explanations

    words related to emotions and sentiments, particularly with a focus on strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    words related to emergency situations or crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceFile
    -0.78
     bed
    -0.64
     AVG
    -0.64
     steroids
    -0.64
     Toad
    -0.61
     acids
    -0.60
     Strauss
    -0.58
     Rockies
    -0.58
    WIND
    -0.58
     dreaded
    -0.58
    POSITIVE LOGITS
    issions
    1.17
    peror
    1.15
    otional
    1.15
    achine
    1.14
    otions
    1.10
    igrant
    1.07
    igrants
    1.06
    ple
    1.05
    brace
    1.05
    phasis
    1.03
    Activations Density 0.025%

    No Known Activations