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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. 11-RES-JB
    11. 14749
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    Explanations

    phrases related to perception and impression

    oai_token-act-pair · gpt-3.5-turbo

    terms related to perception and impression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    talking
    -0.70
    vertisement
    -0.69
    pex
    -0.63
    iola
    -0.63
    iery
    -0.61
     fixme
    -0.61
    ansk
    -0.60
    eni
    -0.59
    loads
    -0.57
     Appendix
    -0.57
    POSITIVE LOGITS
    istic
    0.84
     biases
    0.82
     bias
    0.80
     perceptions
    0.80
    ally
    0.78
     impaired
    0.75
     impression
    0.75
     Lauder
    0.74
     perception
    0.74
     impressions
    0.72
    Activations Density 0.079%

    No Known Activations