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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. 9-RES-JB
    6. 14627
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    Explanations

    actions or events related to physical motion or activity

    oai_token-act-pair · gpt-3.5-turbo

    action-oriented verbs and phrases describing dynamic movements or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gui
    -0.72
    redo
    -0.69
    forming
    -0.69
    thinking
    -0.66
    aun
    -0.65
    cluding
    -0.65
    ena
    -0.65
    tel
    -0.64
    croft
    -0.64
    pleting
    -0.63
    POSITIVE LOGITS
     hay
    0.80
     furiously
    0.75
     cough
    0.67
     spree
    0.66
     frantically
    0.65
     merry
    0.64
     brisk
    0.60
     bowls
    0.59
     suspic
    0.59
     slang
    0.59
    Activations Density 0.344%

    No Known Activations