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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. 6-RES-JB
    11. 5111
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    Explanations

    the ordinal position of events or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to chronological order

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     RELEASE
    -0.70
    Laun
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    Documents
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    PDATED
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    burg
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    UX
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    mbuds
    -0.64
    ITNESS
    -0.64
    leases
    -0.62
     RELE
    -0.62
    POSITIVE LOGITS
     inning
    1.07
     baseman
    0.93
     halftime
    0.87
     quarter
    0.86
     season
    0.84
     tier
    0.80
     consecutive
    0.78
     playoff
    0.77
     league
    0.77
     matchup
    0.77
    Activations Density 0.089%

    No Known Activations