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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. 8-RES-JB
    6. 5416
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    Explanations

    phrases related to the passage of time

    oai_token-act-pair · gpt-3.5-turbo

    references to the passage of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hest
    -0.76
    ariat
    -0.69
    mosp
    -0.67
     Hats
    -0.66
    Vs
    -0.65
    insula
    -0.65
    Bey
    -0.65
    anmar
    -0.65
    MIN
    -0.64
     Parties
    -0.64
    POSITIVE LOGITS
    frames
    1.08
     periods
    0.85
     iterations
    0.84
     horizon
    0.82
     generations
    0.80
     continuum
    0.73
     ILCS
    0.73
     cycles
    0.72
     conditioning
    0.68
    VERTISEMENT
    0.66
    Activations Density 0.049%

    No Known Activations