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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. 7-RES-JB
    6. 18351
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    INDEX
    Explanations

    instances of phrases expressing anticipation or excitement about future events

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing anticipation or looking forward to future events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.88
    quickShipAvailable
    -0.80
    hes
    -0.79
    MRI
    -0.70
    PLIED
    -0.69
    owned
    -0.68
    Unit
    -0.67
     Advertisement
    -0.67
    hesis
    -0.67
    MO
    -0.67
    POSITIVE LOGITS
     seeing
    1.00
     hearing
    0.94
     welcoming
    0.88
     learning
    0.78
     RELEASE
    0.76
     someday
    0.76
     encountering
    0.75
     rematch
    0.75
     discovering
    0.74
     revisit
    0.74
    Activations Density 0.068%

    No Known Activations