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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. 1986
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    Explanations

    phrases related to academic institutions, especially the Massachusetts Institute of Technology (MIT)

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to academic institutions and their programs

    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
    soDeliveryDate
    -0.70
     corridors
    -0.69
    SourceFile
    -0.69
     zipper
    -0.67
    chwitz
    -0.67
     evict
    -0.65
     defect
    -0.64
     pim
    -0.64
     giveaway
    -0.63
     heels
    -0.60
    POSITIVE LOGITS
     Technology
    0.93
    ngth
    0.82
     Standards
    0.78
     Statistical
    0.75
     Fundamental
    0.74
     Integ
    0.73
    itutional
    0.73
     Applied
    0.73
     Forensic
    0.72
     Politics
    0.71
    Activations Density 0.054%

    No Known Activations