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

    instances of the word "reasonable" in contexts relating to legal or judgment-based discussions

    oai_token-act-pair · gpt-3.5-turbo

    the concept of what is considered "reasonable" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chin
    -0.80
    Hop
    -0.80
    yang
    -0.78
    sten
    -0.76
    rio
    -0.75
    nen
    -0.74
    berman
    -0.72
    CHAT
    -0.70
    fen
    -0.70
    Indust
    -0.69
    POSITIVE LOGITS
     accommodation
    0.91
     expectation
    0.90
     accommodations
    0.88
     enough
    0.87
     sane
    0.87
    asonable
    0.84
     expectations
    0.83
     amounts
    0.83
     reasonable
    0.82
     amount
    0.78
    Activations Density 0.010%

    No Known Activations