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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. 23960
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    INDEX
    Explanations

    words related to the beginning or onset of events or processes

    oai_token-act-pair · gpt-3.5-turbo

    words indicating the initiation or commencement of actions or events

    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
    ighth
    -0.77
    atform
    -0.65
    =-=-=-=-=-=-=-=-
    -0.64
    atu
    -0.63
     Ago
    -0.62
    swer
    -0.61
     entirety
    -0.61
    ocally
    -0.58
    =-=-=-=-
    -0.57
    berus
    -0.55
    POSITIVE LOGITS
     behaving
    1.04
     noticing
    0.96
     to
    0.96
     disappearing
    0.94
     anew
    0.93
     creeping
    0.88
     appearing
    0.88
     leaking
    0.88
     piling
    0.87
     popping
    0.86
    Activations Density 0.061%

    No Known Activations