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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. 3008
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    Explanations

    phrases related to errors

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of error

    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
    zona
    -0.82
    APTER
    -0.80
    nai
    -0.77
    amen
    -0.77
    tsky
    -0.77
    apy
    -0.75
    estine
    -0.74
    ±
    -0.73
    apeake
    -0.72
    bledon
    -0.69
    POSITIVE LOGITS
     error
    1.00
     guiActiveUn
    0.92
    ously
    0.90
     errors
    0.87
     margin
    0.84
    gered
    0.83
    uracy
    0.77
     Error
    0.77
    Mess
    0.74
     message
    0.73
    Activations Density 0.015%

    No Known Activations