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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. 5887
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    Explanations

    references to laws or regulations in specific contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to recent events and trends

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ERY
    -0.65
    comes
    -0.61
    viron
    -0.59
    nesses
    -0.58
    frey
    -0.56
    gil
    -0.55
    gars
    -0.55
     remains
    -0.55
    igion
    -0.54
    erness
    -0.54
    POSITIVE LOGITS
     whereby
    1.23
     indicating
    1.21
     illustrating
    1.03
     wherein
    0.99
     depicting
    0.98
     demonstrating
    0.96
     outlining
    0.94
     showcasing
    0.93
     detailing
    0.92
     relating
    0.92
    Activations Density 0.814%

    No Known Activations