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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. 9-RES-JB
    11. 16462
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    Explanations

    financial ratings and grades

    oai_token-act-pair · gpt-3.5-turbo

    references to ratings and grading systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pora
    -0.80
     Lobby
    -0.79
    NetMessage
    -0.69
    iframe
    -0.68
     untold
    -0.65
     livestream
    -0.64
    zza
    -0.63
     overturn
    -0.61
     herds
    -0.60
     pupp
    -0.60
    POSITIVE LOGITS
     rating
    1.27
    Grade
    1.25
     grades
    1.17
    Score
    1.13
     exams
    1.11
     grade
    1.09
     Rating
    1.07
     graded
    1.04
     percentile
    1.03
     SAT
    1.02
    Activations Density 0.853%

    No Known Activations