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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. 17677
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    Explanations

    website URLs containing specific patterns

    oai_token-act-pair · gpt-3.5-turbo

    references to academic institutions or faculty

    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
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    Negative Logits
    agar
    -0.69
    20439
    -0.62
    cele
    -0.61
    prem
    -0.60
    sn
    -0.55
    dis
    -0.53
     Fifth
    -0.52
    ement
    -0.52
    rising
    -0.51
    nar
    -0.50
    POSITIVE LOGITS
    etc
    0.79
     etc
    0.77
    ãħĭ
    0.65
    auld
    0.64
     versa
    0.62
     isEnabled
    0.61
     finally
    0.61
    âĶĢâĶĢâĶĢâĶĢ
    0.61
    ãĥł
    0.61
     Cth
    0.61
    Activations Density 0.262%

    No Known Activations