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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. 8-RES-JB
    11. 9838
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    Explanations

    information related to specific locations and events, such as cities and dates

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    govtrack
    -0.77
    ItemTracker
    -0.72
    £ı
    -0.66
    CONCLUS
    -0.65
    76561
    -0.62
    BOOK
    -0.60
     hadn
    -0.60
     untold
    -0.59
    hari
    -0.59
    poon
    -0.57
    POSITIVE LOGITS
     Photographer
    0.84
     pose
    0.77
     REUTERS
    0.75
     Mandatory
    0.74
     gestures
    0.71
     poses
    0.70
     circa
    0.69
    ./
    0.69
     Photograph
    0.67
     illustration
    0.67
    Activations Density 0.278%

    No Known Activations