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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. 1-RES-JB
    11. 17983
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    Explanations

    corrections or corrections-related terms in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to corrections or amendments in texts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atos
    -0.87
    ramid
    -0.79
    NetMessage
    -0.78
    soDeliveryDate
    -0.77
    forms
    -0.71
    join
    -0.69
    bang
    -0.67
     FANT
    -0.66
    ulhu
    -0.66
    thin
    -0.64
    POSITIVE LOGITS
     correction
    1.15
     Correction
    1.08
     corrections
    0.97
     corrected
    0.94
    Correction
    0.89
    Correct
    0.88
     Correct
    0.83
    rection
    0.81
     Corrections
    0.78
     correcting
    0.78
    Activations Density 0.011%

    No Known Activations