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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. 0-RES-JB
    6. 5930
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    Explanations

    phrases related to opening or closing actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to opening and closing contexts or applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bearing
    -0.69
     mill
    -0.69
     losses
    -0.67
     plane
    -0.67
     seasoning
    -0.66
     meteor
    -0.66
     pun
    -0.65
     dread
    -0.65
     planes
    -0.64
     Isa
    -0.64
    POSITIVE LOGITS
    Open
    3.56
    open
    2.16
     Open
    1.83
     OPEN
    1.70
    Opening
    1.66
    opens
    1.65
     open
    1.59
    Close
    1.47
    Clear
    1.29
    Create
    1.27
    Activations Density 0.011%

    No Known Activations