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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. 889
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    Explanations

    phrases related to official reports and statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to reports or statements about events and their implications

    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
    ãĤ¦ãĤ¹
    -0.71
    âĶĢâĶĢâĶĢâĶĢ
    -0.66
    Tonight
    -0.66
    iour
    -0.66
    Actor
    -0.62
    à¦
    -0.61
    Quantity
    -0.61
    Ò
    -0.59
    Christmas
    -0.58
    Vel
    -0.57
    POSITIVE LOGITS
     researchers
    0.82
     investigators
    0.81
     according
    0.77
     reads
    0.76
     study
    0.72
     excerpts
    0.70
     analysts
    0.69
     document
    0.68
    atories
    0.68
     Study
    0.67
    Activations Density 0.302%

    No Known Activations