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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. 5418
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    Explanations

    specific words or names, possibly related to biology or medical contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to species, sexual themes, and specific individuals or locations

    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
     mileage
    -0.70
    ILLE
    -0.69
     anesthesia
    -0.63
    angelo
    -0.62
     shoulder
    -0.62
    bite
    -0.61
    fits
    -0.61
     Coyotes
    -0.60
    ombie
    -0.59
    locks
    -0.59
    POSITIVE LOGITS
    nant
    0.91
    folk
    0.82
    structed
    0.80
    OGR
    0.79
    \"
    0.79
    ĸļ
    0.78
    gement
    0.78
    stru
    0.78
    ciating
    0.78
    \",
    0.73
    Activations Density 0.025%

    No Known Activations