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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. 5-RES-JB
    6. 19532
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    Explanations

    phrases indicating an amount of time spent in a specific location

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "for" followed by numerical references to durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Introduced
    -0.67
    illin
    -0.66
    Ohio
    -0.65
    urred
    -0.65
    uckland
    -0.64
    KK
    -0.63
    fleet
    -0.63
    aults
    -0.62
    =>
    -0.61
    ´
    -0.61
    POSITIVE LOGITS
     awhile
    1.12
     instance
    1.08
     example
    1.03
    geries
    1.00
    bidden
    0.99
    gotten
    0.93
    aging
    0.88
     starters
    0.88
     months
    0.86
     purposes
    0.84
    Activations Density 0.197%

    No Known Activations