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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. 1-RES-JB
    11. 5544
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    Explanations

    time periods mentioned in weeks

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods expressed in weeks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jri
    -0.86
     Bubble
    -0.68
     cogn
    -0.62
     familiar
    -0.61
     constitu
    -0.61
     misunderstanding
    -0.61
     knowledgeable
    -0.59
     bubbles
    -0.59
    Frameworks
    -0.58
     crystal
    -0.57
    POSITIVE LOGITS
    days
    1.25
    iversary
    1.16
    day
    1.13
    week
    1.09
    DAY
    1.06
    night
    1.05
    iday
    0.98
    uty
    0.94
    noon
    0.89
    orrow
    0.89
    Activations Density 0.017%

    No Known Activations