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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. 6-RES-JB
    11. 18840
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    Explanations

    references to academic grades

    oai_token-act-pair · gpt-3.5-turbo

    references to academic grades and evaluation systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Bundy
    -0.87
    eers
    -0.82
    ĸļ
    -0.79
    issance
    -0.75
    iak
    -0.74
    orial
    -0.73
    bered
    -0.73
    reprene
    -0.72
    sle
    -0.72
    riks
    -0.71
    POSITIVE LOGITS
     grades
    0.91
     rating
    0.84
     grade
    0.83
     plutonium
    0.77
    Grade
    0.76
    ably
    0.75
     grading
    0.73
    able
    0.69
     insign
    0.68
     markings
    0.65
    Activations Density 0.021%

    No Known Activations