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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. 10-RES-JB
    11. 5468
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    Explanations

    focus on comparative and relational terms

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to societal issues and health concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ESE
    -0.80
    avorite
    -0.78
    pton
    -0.73
    cia
    -0.69
     furthermore
    -0.68
    ffe
    -0.67
    YES
    -0.66
    ongyang
    -0.66
    å·
    -0.65
    eden
    -0.64
    POSITIVE LOGITS
     spectator
    0.93
     transact
    0.92
     reactive
    0.89
     discrete
    0.88
     binary
    0.87
     mere
    0.87
     incremental
    0.87
     abstract
    0.87
     linear
    0.87
     static
    0.85
    Activations Density 0.375%

    No Known Activations