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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. 11-RES-JB
    11. 12674
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    Explanations

    references to specific numerical locations within a sports game

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time intervals during a game

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -1.03
    lete
    -0.66
    yip
    -0.65
    psc
    -0.65
    edom
    -0.63
     RELE
    -0.62
    nen
    -0.62
    rontal
    -0.61
    ortment
    -0.60
    heit
    -0.60
    POSITIVE LOGITS
     waning
    1.07
     midst
    1.07
     closing
    1.04
     fourth
    1.04
     opener
    0.94
     shootout
    0.93
     ensuing
    0.90
     finale
    0.90
     second
    0.90
     final
    0.89
    Activations Density 0.075%

    No Known Activations