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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. 24350
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    Explanations

    verbs related to physical movement, particularly walking or running

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the phrase "around."

    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
    BT
    -0.73
    hetical
    -0.69
    iPhone
    -0.69
     Guilty
    -0.67
    qua
    -0.67
    ENS
    -0.61
     semif
    -0.58
     Prol
    -0.58
    TH
    -0.58
    anza
    -0.58
    POSITIVE LOGITS
    abouts
    0.95
     corners
    0.89
    clock
    0.81
    unin
    0.79
    pread
    0.78
    atform
    0.78
    bys
    0.75
    scan
    0.74
    essage
    0.74
    worm
    0.73
    Activations Density 0.040%

    No Known Activations