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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. 8488
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    INDEX
    Explanations

    words related to actions or processes, particularly involving physical activities or operations

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and participles related to action and process

    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
    QB
    -0.66
    pps
    -0.65
    fitting
    -0.63
    spot
    -0.60
    bal
    -0.60
    bold
    -0.60
    trak
    -0.59
    ulet
    -0.59
    ngth
    -0.58
     Baz
    -0.57
    POSITIVE LOGITS
    redients
    1.20
    tons
    1.08
    HAM
    0.97
    ame
    0.75
     spree
    0.73
     aids
    0.72
    ham
    0.72
     noises
    0.71
    roup
    0.69
    quished
    0.69
    Activations Density 0.172%

    No Known Activations