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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. 6-RES-JB
    6. 5346
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    INDEX
    Explanations

    phrases related to rehabilitation or treatment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rehabilitation and rehab processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Flan
    -0.67
     Noir
    -0.65
     Hollande
    -0.62
     Wilde
    -0.60
     fry
    -0.60
    DN
    -0.59
    anto
    -0.58
     pollen
    -0.58
     horn
    -0.58
    Dad
    -0.57
    POSITIVE LOGITS
    ilitating
    1.76
    ilitation
    1.68
    bing
    1.07
    spective
    1.03
    apist
    1.02
    ilit
    1.01
    ded
    0.88
     rehabilitation
    0.87
     Rehab
    0.86
    ding
    0.86
    Activations Density 0.020%

    No Known Activations