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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 10966
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    Explanations

    phrases related to causality

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or consequence

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

    No Comments

    Negative Logits
    quickShipAvailable
    -0.90
    accompanied
    -0.74
    soType
    -0.73
    soDeliveryDate
    -0.71
    anooga
    -0.70
     fortun
    -0.70
    til
    -0.70
     manners
    -0.67
     awaits
    -0.66
    pins
    -0.65
    POSITIVE LOGITS
     take
    0.94
     throw
    0.92
     be
    0.92
     reach
    0.91
     shoot
    0.90
     make
    0.89
     discover
    0.88
     gather
    0.87
    asty
    0.87
     shed
    0.86
    Activations Density 0.179%

    No Known Activations