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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. 6-RES-JB
    11. 2805
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    Explanations

    words related to natural resources, mining, and environmental conservation issues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Own
    -0.84
    :[
    -0.81
    employ
    -0.76
    meet
    -0.74
    iors
    -0.74
    ummer
    -0.71
    ADVERTISEMENT
    -0.70
    Shut
    -0.68
    Times
    -0.68
    Week
    -0.68
    POSITIVE LOGITS
     minerals
    0.84
     debris
    0.83
     salt
    0.81
     nitrogen
    0.81
     processed
    0.81
     saline
    0.80
     grit
    0.79
     starch
    0.78
     mineral
    0.78
     soluble
    0.77
    Activations Density 0.297%

    No Known Activations