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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. 1-RES-JB
    6. 4123
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    Explanations

    instances where someone expresses a desire not to do something or expresses a lack of want

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "to" followed by any verb

    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
     Appears
    -0.63
    lip
    -0.60
     assessments
    -0.58
    pointers
    -0.58
     representations
    -0.57
    quickShipAvailable
    -0.57
     depictions
    -0.57
     surges
    -0.57
     deployments
    -0.56
    tions
    -0.55
    POSITIVE LOGITS
     be
    1.07
     fulfill
    1.05
     satisfy
    1.04
     keep
    1.03
     give
    1.03
     accommodate
    1.03
     minimize
    1.03
     make
    1.01
     maximize
    0.99
     provide
    0.99
    Activations Density 1.113%

    No Known Activations