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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. 601
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    Explanations

    phrases relating to specific dates and events

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    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
    oÄŁ
    -0.66
     seams
    -0.62
     seizures
    -0.62
     plot
    -0.61
     equival
    -0.61
     grid
    -0.61
    arov
    -0.57
     SAM
    -0.57
     seizure
    -0.57
     farming
    -0.57
    POSITIVE LOGITS
    ...]
    1.26
    Pg
    1.20
    âĢ¦]
    1.16
    !]
    0.99
    ,[
    0.97
    ?]
    0.96
    CLASSIFIED
    0.92
    Footnote
    0.92
     ][
    0.86
    !--
    0.85
    Activations Density 0.011%

    No Known Activations