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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. 17140
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    Explanations

    words related to causing strong emotional or physical reactions, particularly through intense actions or events

    oai_token-act-pair · gpt-3.5-turbo

    phrases that contain the word "up."

    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
    hari
    -0.72
     pierced
    -0.66
    NetMessage
    -0.66
    cheon
    -0.64
     Closing
    -0.62
     Obj
    -0.62
     Bei
    -0.60
    Gi
    -0.60
     Ree
    -0.59
    _>
    -0.59
    POSITIVE LOGITS
    xual
    0.76
    river
    0.70
    amac
    0.70
    grading
    0.67
     fists
    0.66
    draft
    0.66
    ãĤ±
    0.65
    ãĤ¤ãĥĪ
    0.65
    orsche
    0.64
     havoc
    0.61
    Activations Density 0.040%

    No Known Activations