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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. 10-RES-JB
    11. 4652
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    Explanations

    references to specific points in time, especially within the context of various events or incidents

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ansk
    -0.71
    cius
    -0.68
     poisons
    -0.66
    relevant
    -0.64
     Limits
    -0.64
    cloth
    -0.63
    coins
    -0.62
     dots
    -0.62
    olor
    -0.62
    VALUE
    -0.61
    POSITIVE LOGITS
     weekend
    1.54
     week
    1.39
    ebin
    1.29
     month
    1.24
     summer
    1.22
     Saturday
    1.16
     winter
    1.15
     spring
    1.13
     offseason
    1.13
     Sunday
    1.13
    Activations Density 0.030%

    No Known Activations