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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. 5-RES-JB
    6. 11745
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    Explanations

    words related to preparing for or engaging in conflict or competition

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and present participles related to action or engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.69
     sidel
    -0.68
    abyte
    -0.67
    bara
    -0.67
    article
    -0.65
     unprotected
    -0.63
     miscar
    -0.63
     dangling
    -0.62
     pursued
    -0.62
     dab
    -0.62
    POSITIVE LOGITS
     refreshed
    0.81
     coats
    0.77
    ãĤ¤ãĥĪ
    0.75
     Grounds
    0.75
    igue
    0.74
    éĹĺ
    0.73
    Ready
    0.71
     Prepar
    0.71
    strap
    0.71
    arity
    0.70
    Activations Density 0.128%

    No Known Activations