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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. 11-RES-JB
    11. 5265
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    Explanations

    phrases indicating progression, achievement, or continuation in someone's career or life

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    keeping
    -0.76
    achy
    -0.75
    eyes
    -0.73
     Continued
    -0.70
    soDeliveryDate
    -0.68
     Ready
    -0.67
    awed
    -0.66
    Limited
    -0.66
    Edited
    -0.65
    quickShipAvailable
    -0.64
    POSITIVE LOGITS
     describe
    1.17
     accuse
    1.15
     create
    1.13
     become
    1.13
     cite
    1.09
     establish
    1.09
     lose
    1.08
     formulate
    1.08
     explain
    1.07
     argue
    1.07
    Activations Density 0.037%

    No Known Activations