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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. 10352
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    Explanations

    instances where an action is expected to occur at a specific point in time or after a certain condition is met

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "after" indicating sequences or conditions that follow a specific event

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ³ãĤ¸
    -0.90
    ãĤ¹
    -0.79
    ãĤ¹ãĥĪ
    -0.79
    oho
    -0.75
    ois
    -0.72
    ãĥ¼
    -0.70
    ãĥī
    -0.69
    女
    -0.68
    ãĥĩ
    -0.67
    aez
    -0.66
    POSITIVE LOGITS
     completing
    1.16
     completion
    1.09
    noon
    0.98
    market
    0.97
     verifying
    0.97
    wards
    0.96
     awhile
    0.96
     adjusting
    0.95
     subtract
    0.95
     reaching
    0.93
    Activations Density 0.083%

    No Known Activations