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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. 0-RES-JB
    11. 20375
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    Explanations

    phrases related to consuming resources or time

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time consumption and related expenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etsk
    -0.75
    Tact
    -0.69
     Tact
    -0.66
     nods
    -0.64
     Grimm
    -0.63
    key
    -0.63
    ance
    -0.62
     bolster
    -0.61
    ctions
    -0.61
    tm
    -0.61
    POSITIVE LOGITS
     consuming
    3.30
    consuming
    3.08
     taxing
    1.35
     consumed
    1.32
    intensive
    1.27
     consume
    1.11
     consumes
    1.11
    producing
    1.08
     permitting
    1.07
    eating
    1.06
    Activations Density 0.027%

    No Known Activations