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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. 434
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    Explanations

    time-related information, specifically in different time zones

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values and time references

    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
    Not in Any Lists

    No Comments

    Negative Logits
    cknow
    -0.56
    åĬ
    -0.54
    dding
    -0.52
     cumbers
    -0.51
    İĭ
    -0.51
    Leaks
    -0.50
    idable
    -0.49
    ãĤ©
    -0.49
    farious
    -0.49
    ãĥ¯ãĥ³
    -0.49
    POSITIVE LOGITS
     for
    1.02
     to
    0.79
     nationally
    0.77
     globally
    0.75
     depending
    0.74
     among
    0.73
     internationally
    0.73
    depending
    0.73
    for
    0.72
     insofar
    0.72
    Activations Density 0.591%

    No Known Activations