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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. 7-RES-JB
    6. 14753
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    INDEX
    Explanations

    character sequences that are often associated with high intensity or impact

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions and events that carry significant implications or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dressing
    -0.69
     praying
    -0.68
     listening
    -0.67
     pretending
    -0.65
     complying
    -0.65
     attending
    -0.65
     apologizing
    -0.63
     withdrawing
    -0.62
     rebellious
    -0.61
     behaving
    -0.61
    POSITIVE LOGITS
    ifies
    1.15
    uates
    1.12
    izes
    1.07
    iates
    0.93
    itates
    0.91
    shed
    0.90
    ulates
    0.88
    ersed
    0.88
    tains
    0.87
    ceed
    0.86
    Activations Density 0.195%

    No Known Activations