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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. 9003
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    Explanations

    words related to rehabilitation or clinics

    oai_token-act-pair · gpt-3.5-turbo

    references to rehab and rehabilitation processes

    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
     Noir
    -0.70
     Flan
    -0.68
     Hollande
    -0.66
     fry
    -0.65
     Liang
    -0.63
     Wilde
    -0.61
    DN
    -0.61
     supra
    -0.60
    aceae
    -0.59
    anto
    -0.59
    POSITIVE LOGITS
    ilitating
    1.71
    ilitation
    1.68
    apist
    1.05
    spective
    1.01
    bing
    0.98
    ilit
    0.96
     rehabilitation
    0.95
     rehab
    0.93
     Rehab
    0.92
    iliation
    0.86
    Activations Density 0.015%

    No Known Activations