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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. 3305
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    INDEX
    Explanations

    phrases indicating evaluation, such as "bad" or "difficult"

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing difficulty or negative evaluations

    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
    ãĤ½
    -0.75
    urd
    -0.71
    Offline
    -0.68
    gypt
    -0.67
    yth
    -0.67
    ystem
    -0.65
    last
    -0.64
    tv
    -0.64
    iHUD
    -0.63
    wake
    -0.63
    POSITIVE LOGITS
    agher
    0.73
    nels
    0.66
     Carbuncle
    0.66
     elbows
    0.65
     harass
    0.64
     slicing
    0.63
     cruising
    0.62
     temptation
    0.62
     flavors
    0.59
     elbow
    0.58
    Activations Density 0.127%

    No Known Activations