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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. 11-RES-JB
    11. 1321
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    Explanations

    specific characters or punctuation sequences

    oai_token-act-pair · gpt-3.5-turbo

    segments of dialogue or quotes within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     undermin
    -0.79
     proport
    -0.70
     acquaint
    -0.70
     helicop
    -0.68
     citiz
    -0.64
     identity
    -0.62
     govern
    -0.62
     wiser
    -0.61
     confir
    -0.61
     mislead
    -0.59
    POSITIVE LOGITS
    ³³³³
    0.89
    ³³³³³³³³
    0.86
    ³³³
    0.86
    ::::::::
    0.81
    ↵
    0.80
    âĶĢâĶĢâĶĢâĶĢ
    0.76
    XXXX
    0.73
    AAAA
    0.72
    xxxxxxxx
    0.72
    "âĢ¦
    0.72
    Activations Density 0.119%

    No Known Activations