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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    mentions of the Pentagon

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Pentagon

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gger
    -0.84
    à
    -0.70
    Hop
    -0.69
    PER
    -0.68
    âĸ¬
    -0.68
    Beer
    -0.68
    lihood
    -0.67
    Ward
    -0.65
     Constantin
    -0.64
    cess
    -0.64
    POSITIVE LOGITS
     Pentagon
    1.02
     Papers
    0.99
    arium
    0.88
    selage
    0.85
    ilion
    0.78
    iets
    0.76
     embassy
    0.76
    ukong
    0.74
     annex
    0.73
     contractors
    0.73
    Activations Density 0.010%

    No Known Activations