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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. 5065
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    Explanations

    phrases indicating a narrative shift or continuation in a story

    oai_token-act-pair · gpt-3.5-turbo

    sentences that end with a period

    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
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    Negative Logits
     gravy
    -0.80
    adi
    -0.72
     averages
    -0.72
    isher
    -0.69
     defe
    -0.68
     currently
    -0.67
    phies
    -0.66
     allowance
    -0.66
     ensl
    -0.66
     bearer
    -0.65
    POSITIVE LOGITS
     Within
    1.15
     Suddenly
    1.14
     Slowly
    1.12
     Immediately
    1.12
     Soon
    1.04
     Initially
    1.04
     Firstly
    1.04
     Then
    1.03
     Something
    1.00
     Eventually
    1.00
    Activations Density 0.435%

    No Known Activations