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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. 23420
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    Explanations

    words related to reduction or decrease

    oai_token-act-pair · gpt-3.5-turbo

    words related to reduction or decrease

    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
    REL
    -0.80
    ullivan
    -0.77
    spot
    -0.70
    raid
    -0.67
     Aval
    -0.65
    rera
    -0.65
    sol
    -0.65
    ILLE
    -0.65
    find
    -0.63
     Advice
    -0.62
    POSITIVE LOGITS
    inished
    0.88
    utive
    0.86
     proport
    0.84
    ments
    0.77
    mentation
    0.74
    ishment
    0.72
    itized
    0.71
    initions
    0.69
    iasis
    0.69
    ighed
    0.68
    Activations Density 0.033%

    No Known Activations