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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. 6-RES-JB
    6. 24190
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    Explanations

    dates or durations of time, with a focus on "nearly"

    oai_token-act-pair · gpt-3.5-turbo

    the word "nearly" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agate
    -0.95
    Reviewer
    -0.75
    oris
    -0.75
    oran
    -0.70
    ysis
    -0.69
    DH
    -0.68
     locality
    -0.66
     messenger
    -0.66
    ":[
    -0.66
    iless
    -0.66
    POSITIVE LOGITS
     identical
    0.79
    stress
    0.72
     tripled
    0.68
     ident
    0.66
    arser
    0.65
    ceed
    0.65
    iannopoulos
    0.65
     finished
    0.64
    PsyNetMessage
    0.63
     limitless
    0.63
    Activations Density 0.035%

    No Known Activations