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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. 7-RES-JB
    11. 21780
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    Explanations

    references to past and present time

    oai_token-act-pair · gpt-3.5-turbo

    references to the present day or current events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acci
    -0.72
    amba
    -0.69
     Carib
    -0.63
     Deity
    -0.62
     Pair
    -0.61
     Nose
    -0.61
     transmission
    -0.60
     IPM
    -0.59
     Prediction
    -0.57
     nose
    -0.57
    POSITIVE LOGITS
    adays
    1.48
    here
    0.94
     retired
    0.78
    yond
    0.77
    recy
    0.74
     regretted
    0.74
     defunct
    0.73
     remembered
    0.72
     descendants
    0.68
    INGTON
    0.68
    Activations Density 0.228%

    No Known Activations