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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. 3-RES-JB
    11. 11988
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    Explanations

    words related to limitations or restricted quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to constraints or restrictions

    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
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    No Comments

    Negative Logits
    ashington
    -0.74
    Ranked
    -0.72
    Mount
    -0.72
    thus
    -0.70
    Gener
    -0.69
    NOR
    -0.66
    Oak
    -0.66
    ¯¯¯¯
    -0.66
    CENT
    -0.66
     [+]
    -0.66
    POSITIVE LOGITS
     collateral
    0.84
     amounts
    0.81
     exceptions
    0.79
     warr
    0.79
     restricts
    0.78
    restricted
    0.78
    inous
    0.77
     satell
    0.77
     limited
    0.77
    limited
    0.76
    Activations Density 0.023%

    No Known Activations