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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. 20387
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    Explanations

    mentions of specific days

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days and events from the past or future

    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
    hips
    -0.84
    eers
    -0.78
    onne
    -0.78
     Conquer
    -0.76
    hip
    -0.76
    iframe
    -0.69
    eer
    -0.69
    ahime
    -0.67
    rosse
    -0.66
    icans
    -0.66
    POSITIVE LOGITS
     afternoon
    1.95
     morning
    1.83
     evening
    1.79
     night
    1.55
    morning
    1.32
     mornings
    1.22
     Evening
    1.17
     Night
    1.12
     NIGHT
    1.11
     Morning
    1.10
    Activations Density 0.039%

    No Known Activations