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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 18401
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    Explanations

    words associated with timeliness and punctuality

    oai_token-act-pair · gpt-3.5-turbo

    words related to timing and urgency

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

    No Comments

    Negative Logits
    aden
    -0.83
    rug
    -0.80
    Ring
    -0.77
    bending
    -0.76
    wagen
    -0.76
    gemony
    -0.74
    ain
    -0.73
    arov
    -0.73
    ramid
    -0.73
    secret
    -0.72
    POSITIVE LOGITS
     timely
    1.00
     meals
    0.80
     delivery
    0.78
     overdue
    0.76
    cffff
    0.75
    aneously
    0.74
     inacc
    0.74
     opportunity
    0.73
     disclosures
    0.73
     notifications
    0.73
    Activations Density 0.013%

    No Known Activations