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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. 10-RES-JB
    6. 3051
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    Explanations

    keywords related to pre-orders or pre-planned actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to pre-orders and pre-production processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     outnumbered
    -0.68
     realism
    -0.68
     wonder
    -0.67
     minority
    -0.66
     Cohn
    -0.65
     faster
    -0.65
     DRAG
    -0.65
     sorely
    -0.64
     collagen
    -0.64
     downside
    -0.63
    POSITIVE LOGITS
    existing
    1.67
    empt
    1.62
    requisite
    1.51
    requisites
    1.42
    orders
    1.36
    emption
    1.34
    installed
    1.34
    selected
    1.32
    defined
    1.29
    release
    1.29
    Activations Density 0.019%

    No Known Activations