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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. 7-RES-JB
    11. 11638
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    Explanations

    adjectives related to different qualities or states

    oai_token-act-pair · gpt-3.5-turbo

    terms related to safety, cooperation, and environmental dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Agric
    -0.68
     Pulitzer
    -0.66
     Ung
    -0.66
    ~~~~~~~~~~~~~~~~
    -0.64
     UNITED
    -0.62
     coli
    -0.62
     horr
    -0.61
    GAME
    -0.61
     Recogn
    -0.61
    coni
    -0.60
    POSITIVE LOGITS
    ness
    1.55
    nesses
    1.37
    NESS
    1.16
    ity
    0.94
    ened
    0.89
    cies
    0.87
     ones
    0.86
     persons
    0.86
    ening
    0.86
     spots
    0.83
    Activations Density 0.438%

    No Known Activations