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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. 4-RES-JB
    6. 5745
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    Explanations

    names in a non-English language

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, particularly commas, in the text

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

    No Comments

    Negative Logits
     footing
    -0.64
    FIX
    -0.60
     reasons
    -0.60
    ird
    -0.58
    enhagen
    -0.57
    pport
    -0.56
     discretionary
    -0.56
     exha
    -0.55
     investment
    -0.55
     decisions
    -0.55
    POSITIVE LOGITS
     aka
    1.00
     huh
    0.91
     etc
    0.86
     respectively
    0.81
     meanwhile
    0.77
     which
    0.76
     wherein
    0.76
     although
    0.75
     Jr
    0.74
    Downloadha
    0.74
    Activations Density 1.018%

    No Known Activations