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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. 8-RES-JB
    11. 10091
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    Explanations

    references to the current moment in time

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing urgency or immediacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ged
    -0.69
    aughed
    -0.68
    nce
    -0.67
     Parables
    -0.66
    imov
    -0.65
     Benefits
    -0.64
    alty
    -0.60
    cknowled
    -0.59
    ppe
    -0.59
    ews
    -0.59
    POSITIVE LOGITS
    abouts
    1.00
    adays
    0.92
    here
    0.87
    tics
    0.81
     underway
    0.75
    rast
    0.71
    orea
    0.68
    å¸
    0.67
    lease
    0.66
    女
    0.65
    Activations Density 0.041%

    No Known Activations