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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. 388
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    INDEX
    Explanations

    occurrences of time periods or temporal contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences and references to specific periods or moments in time

    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
     fingerprints
    -0.75
    ById
    -0.69
     wiser
    -0.68
     oranges
    -0.68
     buttons
    -0.67
     Genie
    -0.66
     salts
    -0.66
     grit
    -0.65
     keys
    -0.64
     rug
    -0.62
    POSITIVE LOGITS
    panic
    0.84
    imester
    0.81
     period
    0.77
    session
    0.75
    akedown
    0.74
    trial
    0.74
    Interstitial
    0.74
     periods
    0.71
    regnancy
    0.70
    stad
    0.69
    Activations Density 0.258%

    No Known Activations