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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. 11-RES-JB
    6. 3265
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    Explanations

    phrases related to actions, activities, and tasks

    oai_token-act-pair · gpt-3.5-turbo

    expressions of dissatisfaction or needs related to resources or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    issance
    -0.76
    enegger
    -0.68
    abus
    -0.67
    Naz
    -0.65
    lich
    -0.65
    ileaks
    -0.64
    Merit
    -0.64
    xon
    -0.63
    justice
    -0.63
    Pitt
    -0.63
    POSITIVE LOGITS
     their
    1.22
     themselves
    1.18
    their
    1.03
     theirs
    1.01
     THEIR
    0.91
     varying
    0.90
     Their
    0.86
     unrealistic
    0.86
     shortcuts
    0.85
     these
    0.84
    Activations Density 0.547%

    No Known Activations