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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. 17838
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    INDEX
    Explanations

    mentions of specific durations of time, particularly those related to sentences or imprisonments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" followed by various contexts

    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
    NOW
    -0.78
    hirt
    -0.71
    ALSE
    -0.68
    mu
    -0.67
    pointers
    -0.65
    bryce
    -0.65
    tons
    -0.64
    DOS
    -0.64
    SourceFile
    -0.63
    deck
    -0.63
    POSITIVE LOGITS
     advance
    1.08
    ordinate
    1.00
     accordance
    1.00
     preparation
    0.96
     lieu
    0.94
     conjunction
    0.93
     vitro
    0.93
     relation
    0.91
     order
    0.91
    patient
    0.91
    Activations Density 0.255%

    No Known Activations