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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. 12-RES-JB
    11. 2883
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    INDEX
    Explanations

    descriptions related to sensory experiences such as taste, smell, and appearance

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    expressions of surprise or awe

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    olicy
    -0.84
    Topic
    -0.73
    farious
    -0.72
    visors
    -0.70
    pmwiki
    -0.69
    tenance
    -0.68
    vised
    -0.67
     defic
    -0.67
    avior
    -0.66
    istrates
    -0.65
    POSITIVE LOGITS
     wow
    1.16
     unbelievable
    1.08
     awe
    1.07
     incredible
    1.06
     breathtaking
    1.05
     Incredible
    1.02
     Wow
    1.01
     amazing
    1.00
     amaz
    0.97
     amazed
    0.94
    Activations Density 0.988%

    No Known Activations