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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. 8-RES-JB
    6. 19878
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    INDEX
    Explanations

    phrases related to deducing or relying on information

    oai_token-act-pair · gpt-3.5-turbo

    references to decisions or conclusions that are based on specific criteria or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anamo
    -0.78
    pload
    -0.75
    scribe
    -0.74
    rolet
    -0.71
    erers
    -0.71
    anke
    -0.70
    apo
    -0.70
    asking
    -0.70
    robe
    -0.70
    joy
    -0.70
    POSITIVE LOGITS
     assumptions
    1.08
     criteria
    1.04
     assumption
    1.04
     observations
    1.03
     principles
    0.99
     evaluations
    0.96
     feedback
    0.95
     whims
    0.95
     premise
    0.91
     intuition
    0.90
    Activations Density 0.386%

    No Known Activations