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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. 9-RES-JB
    11. 23666
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    Explanations

    words related to scheduled events or plans

    oai_token-act-pair · gpt-3.5-turbo

    future events or actions indicated by the word "will."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     digging
    -0.80
     typing
    -0.80
     cooperating
    -0.78
     resisting
    -0.77
     abandoning
    -0.74
     designing
    -0.73
     manipulating
    -0.72
     liking
    -0.71
     grasping
    -0.70
     guessing
    -0.70
    POSITIVE LOGITS
     culmin
    1.37
     coincide
    1.33
     occur
    1.25
     involve
    1.24
     consist
    1.22
     contain
    1.17
     unfold
    1.10
     commence
    1.05
     happen
    1.03
     preced
    0.99
    Activations Density 0.281%

    No Known Activations