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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. 7-RES-JB
    11. 18884
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    Explanations

    government and organization-related entities and their activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to roles or titles associated with authority and governance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢâĶĢâĶĢ
    -0.74
    Hig
    -0.74
    à¤
    -0.73
    $.
    -0.73
    Anything
    -0.73
    Õ
    -0.73
    ãĤ¦ãĤ¹
    -0.73
    ABLE
    -0.72
    Solar
    -0.69
    ãĤ¯
    -0.69
    POSITIVE LOGITS
    hips
    1.00
    hip
    1.00
     outnumbered
    0.95
     reacted
    0.93
     are
    0.91
     were
    0.90
    paces
    0.89
     alike
    0.87
     rejoice
    0.86
     weren
    0.85
    Activations Density 0.294%

    No Known Activations