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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. 9-RES-JB
    6. 22333
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    Explanations

    mentions of time-related events

    oai_token-act-pair · gpt-3.5-turbo

    the word "the" appearing frequently throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stadt
    -0.66
    pport
    -0.65
    abi
    -0.62
    etsk
    -0.62
    atal
    -0.62
     anew
    -0.61
     propagate
    -0.61
    helm
    -0.61
     ahead
    -0.60
     anymore
    -0.60
    POSITIVE LOGITS
     end
    0.98
     Numbers
    0.94
     way
    0.90
     sheer
    0.84
     margins
    0.84
     time
    0.74
     standards
    0.73
     meantime
    0.72
     same
    0.71
     grace
    0.68
    Activations Density 0.039%

    No Known Activations