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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. 15374
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    Explanations

    names or terms related to specific people or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to names and places

    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
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    No Comments

    Negative Logits
    cerning
    -0.60
    ocating
    -0.57
    ulative
    -0.56
    ancies
    -0.56
    lycer
    -0.55
    ifty
    -0.54
    atures
    -0.54
    anchester
    -0.53
    arine
    -0.53
    rius
    -0.52
    POSITIVE LOGITS
    shit
    0.56
    bash
    0.54
    vals
    0.52
     Lines
    0.52
    ¥µ
    0.51
    zon
    0.50
    icho
    0.50
    Redditor
    0.50
    scl
    0.50
    strap
    0.50
    Activations Density 0.990%

    No Known Activations