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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. 487
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    INDEX
    Explanations

    phrases related to cold weather or anesthesia

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frost and freezing conditions

    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
    selves
    -0.68
    terior
    -0.66
    ENTION
    -0.66
     Indones
    -0.64
    gae
    -0.64
    alogue
    -0.64
    ention
    -0.64
    ulhu
    -0.63
    ister
    -0.62
    >>>>>>>>
    -0.62
    POSITIVE LOGITS
    bite
    1.29
    flake
    0.95
    enstein
    0.91
    cream
    0.84
     Frost
    0.83
    iness
    0.83
    fur
    0.81
    fall
    0.81
    burn
    0.81
     frost
    0.80
    Activations Density 0.010%

    No Known Activations