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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. 10-RES-JB
    11. 21554
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    Explanations

    information related to delays or unexpected events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the emergence of important events or revelations over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onga
    -0.63
     upkeep
    -0.62
    xual
    -0.59
    avier
    -0.59
    anges
    -0.58
     specialized
    -0.57
     older
    -0.57
     differentiated
    -0.57
     distinguishing
    -0.56
     bonded
    -0.55
    POSITIVE LOGITS
    ghazi
    0.99
     yesterday
    0.96
     debacle
    0.84
     fiasco
    0.84
    Yesterday
    0.79
    ousands
    0.78
    #$
    0.77
     mysteriously
    0.76
     inexpl
    0.75
    addafi
    0.73
    Activations Density 0.740%

    No Known Activations