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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. 1-RES-JB
    11. 6352
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    Explanations

    references to "drag" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "drag" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Holmes
    -0.77
     Ramadan
    -0.68
    vironment
    -0.68
     1886
    -0.66
     Staples
    -0.66
    idential
    -0.65
     Blueprint
    -0.64
     Kubrick
    -0.63
     Heb
    -0.62
     AVG
    -0.60
    POSITIVE LOGITS
     drag
    1.18
    Drag
    1.11
     Drag
    1.05
     queens
    0.99
    glers
    0.95
    lift
    0.89
     corrid
    0.87
    wheel
    0.85
    oon
    0.82
     racer
    0.79
    Activations Density 0.007%

    No Known Activations