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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. 9-RES-JB
    11. 2408
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    Explanations

    multipliers or comparative relationships

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparative frequency or quantity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ists
    -0.81
    aceous
    -0.65
    uments
    -0.65
    uctions
    -0.65
    ourt
    -0.65
    ately
    -0.64
    onet
    -0.64
    liction
    -0.64
    FFER
    -0.63
    isy
    -0.62
    POSITIVE LOGITS
     faster
    0.85
    avier
    0.81
     slower
    0.79
     cheaper
    0.79
     louder
    0.76
     stronger
    0.72
     heavier
    0.71
     hotter
    0.70
    bill
    0.70
    cens
    0.70
    Activations Density 0.057%

    No Known Activations