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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. 4579
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    INDEX
    Explanations

    verbs related to movement or transportation

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with processes of handling and managing substances or materials

    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
    profits
    -0.62
    ancies
    -0.61
     patience
    -0.59
     integration
    -0.57
    bara
    -0.56
    ties
    -0.55
    leader
    -0.55
    hov
    -0.55
    tal
    -0.54
     Fn
    -0.53
    POSITIVE LOGITS
     toget
    0.80
     by
    0.80
     separately
    0.79
     onto
    0.78
     cheaply
    0.76
     safely
    0.75
     alive
    0.74
    ividually
    0.73
     psychiat
    0.72
     ashore
    0.72
    Activations Density 0.287%

    No Known Activations