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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. 2-RES-JB
    11. 18663
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    Explanations

    proper nouns related to baseball teams and players

    oai_token-act-pair · gpt-3.5-turbo

    references to the Miami Marlins and related entities in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edy
    -0.89
    leness
    -0.83
    esley
    -0.81
    hovah
    -0.79
    neys
    -0.78
    iguous
    -0.75
     ACTIONS
    -0.74
    soDeliveryDate
    -0.74
    nes
    -0.72
    brates
    -0.72
    POSITIVE LOGITS
    conservancy
    0.80
    pora
    0.77
    uten
    0.75
    ushima
    0.74
    ment
    0.70
     Marlins
    0.69
    ntil
    0.67
    cone
    0.67
    xtap
    0.67
     retri
    0.67
    Activations Density 0.025%

    No Known Activations