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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. 7-RES-JB
    11. 22728
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    Explanations

    phrases indicating categorization or classification

    oai_token-act-pair · gpt-3.5-turbo

    phrases or concepts related to types or categories of things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Seconds
    -0.88
    anners
    -0.85
    enes
    -0.84
    omers
    -0.83
    nets
    -0.83
    oons
    -0.83
    inches
    -0.79
    ands
    -0.79
    aughs
    -0.78
     Sands
    -0.77
    POSITIVE LOGITS
     consolation
    0.85
     intermediary
    0.83
     collusion
    0.82
     crossover
    0.81
     coordination
    0.81
     validation
    0.80
     magic
    0.80
     retribution
    0.80
     immortality
    0.80
     tie
    0.79
    Activations Density 0.045%

    No Known Activations