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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. 2-RES-JB
    11. 620
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    Explanations

    words related to errors or mistakes

    oai_token-act-pair · gpt-4-turbo

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    oai_token-act-pair · gpt-3.5-turbo

    references to mistakes and errors

    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
    region
    -0.73
    population
    -0.72
     ILCS
    -0.70
    zie
    -0.68
    phys
    -0.67
    OV
    -0.66
    Harris
    -0.65
    plane
    -0.64
    electric
    -0.64
    yss
    -0.63
    POSITIVE LOGITS
     mistakes
    0.98
    uggest
    0.93
    ettings
    0.88
    hooting
    0.84
     errors
    0.81
    afety
    0.80
    linger
    0.79
    é»Ĵ
    0.78
    etter
    0.77
     Bunny
    0.74
    Activations Density 0.037%

    No Known Activations