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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. 22132
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    Explanations

    statements made by companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    statements made by companies or organizations

    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
     underestimated
    -0.74
    cffffcc
    -0.72
    iencies
    -0.67
     jugg
    -0.66
    prus
    -0.64
     experimented
    -0.61
     haun
    -0.58
     mismatch
    -0.57
    Exper
    -0.57
     fascination
    -0.56
    POSITIVE LOGITS
     statement
    0.95
     emailed
    0.86
    letter
    0.82
     letter
    0.81
     caption
    0.80
     citation
    0.80
     wrote
    0.79
    emphasis
    0.78
     quoted
    0.78
     reprinted
    0.75
    Activations Density 0.150%

    No Known Activations