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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. 9-RES-JB
    11. 3702
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    Explanations

    phrases related to future events or actions

    oai_token-act-pair · gpt-3.5-turbo

    future actions or events indicated by the word "will."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    MpServer
    -0.77
    soType
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    uned
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    blogspot
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    ById
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     Warning
    -0.61
    engineering
    -0.60
    quished
    -0.58
    arser
    -0.58
    Times
    -0.57
    POSITIVE LOGITS
     be
    1.19
     surely
    1.17
     undoubtedly
    1.16
     undergo
    1.13
     remain
    1.07
     earn
    1.05
     doubtless
    1.05
     likely
    1.05
     compete
    1.02
     join
    1.00
    Activations Density 0.162%

    No Known Activations