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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. 9-RES-JB
    11. 7273
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    Explanations

    images and descriptions of events or objects

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertising
    -0.81
    govtrack
    -0.75
    alties
    -0.72
     relies
    -0.70
    ledge
    -0.70
    msg
    -0.69
    ason
    -0.68
    gem
    -0.68
    amazon
    -0.68
    ESPN
    -0.67
    POSITIVE LOGITS
     aftermath
    1.16
     devastation
    1.05
     impending
    1.01
     underside
    0.99
     workings
    0.96
     scene
    0.93
     phenomenon
    0.92
     situation
    0.89
     plight
    0.87
     unfolding
    0.85
    Activations Density 0.323%

    No Known Activations