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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. 9602
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    Explanations

    words related to errors or faults

    oai_token-act-pair · gpt-3.5-turbo

    references to mistakes or errors in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    trak
    -0.83
    region
    -0.81
    population
    -0.73
     ILCS
    -0.70
    jet
    -0.68
    jew
    -0.68
    orthy
    -0.67
    OV
    -0.67
    shr
    -0.65
    metry
    -0.64
    POSITIVE LOGITS
     mistakes
    1.03
     errors
    0.89
    é»Ĵ
    0.78
    hooting
    0.74
     mistake
    0.73
     inacc
    0.73
     undermin
    0.70
     gamb
    0.70
    uggest
    0.70
    afety
    0.69
    Activations Density 0.025%

    No Known Activations