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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. 6-RES-JB
    11. 17847
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    Explanations

    proper nouns or names, specifically "Rud"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific proper nouns, particularly names and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Ago
    -0.72
    ghazi
    -0.67
    uries
    -0.66
    Ø©
    -0.65
     flares
    -0.64
     combust
    -0.64
     ILCS
    -0.63
    tein
    -0.63
     Vietnam
    -0.63
    goers
    -0.63
    POSITIVE LOGITS
    imentary
    1.08
    olf
    1.02
    itionally
    0.92
    der
    0.91
    iom
    0.90
    eness
    0.90
    enthal
    0.88
     Rud
    0.88
    olph
    0.88
    lers
    0.87
    Activations Density 0.031%

    No Known Activations