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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. 8-RES-JB
    11. 947
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    Explanations

    specific references to physical locations

    oai_token-act-pair · gpt-3.5-turbo

    elements related to culinary terms and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     darn
    -0.61
     Allaah
    -0.60
    etc
    -0.53
    eah
    -0.53
    orneys
    -0.53
    mares
    -0.52
    NYSE
    -0.52
    je
    -0.51
    oun
    -0.51
    sem
    -0.51
    POSITIVE LOGITS
     meanwhile
    0.87
     ];
    0.63
    ebted
    0.59
     likewise
    0.59
     moreover
    0.58
     similarly
    0.56
    ];
    0.56
     ensued
    0.53
     countered
    0.52
    ]:
    0.52
    Activations Density 2.062%

    No Known Activations