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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. 10-RES-JB
    6. 21848
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    Explanations

    concepts related to different interpretations or versions of events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    reau
    -0.75
    Laughs
    -0.74
    umerable
    -0.74
    âĹ¼
    -0.72
    odder
    -0.69
    hement
    -0.66
     Advertisement
    -0.66
    ////////////////
    -0.65
    @@
    -0.64
    aughs
    -0.63
    POSITIVE LOGITS
     masculinity
    1.01
     criminality
    1.00
     reality
    0.99
     how
    0.96
     what
    0.96
     morality
    0.95
     causation
    0.90
     sexuality
    0.90
     events
    0.89
     fairness
    0.87
    Activations Density 0.136%

    No Known Activations