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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. 4670
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    Explanations

    phrases related to politicians and their focus on particular issues

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

    phrases related to prioritizing attention or effort

    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
    anka
    -0.66
    addin
    -0.60
    opus
    -0.60
    interstitial
    -0.60
    latable
    -0.57
    ANS
    -0.57
    assian
    -0.57
    named
    -0.56
    BIT
    -0.55
    posted
    -0.55
    POSITIVE LOGITS
     solely
    1.09
     exclusively
    1.06
     attention
    1.04
     squarely
    0.95
     primarily
    0.93
     purely
    0.88
     intensely
    0.88
     mainly
    0.87
     attent
    0.86
     narrowly
    0.86
    Activations Density 0.076%

    No Known Activations