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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. 20734
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    Explanations

    actions or tasks that someone can do

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing capabilities or actions

    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
    ONSORED
    -0.69
    theless
    -0.66
    lights
    -0.66
     sentenced
    -0.64
    laus
    -0.62
     Canal
    -0.62
    Hung
    -0.60
    zilla
    -0.59
    Tai
    -0.59
    hattan
    -0.59
    POSITIVE LOGITS
    omething
    0.91
    omsday
    0.89
    pez
    0.81
     anything
    0.81
    hing
    0.77
    ggy
    0.77
    xa
    0.76
    xx
    0.74
    ozy
    0.74
    xy
    0.74
    Activations Density 0.039%

    No Known Activations