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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. 2-RES-JB
    11. 7066
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    Explanations

    mentions of academic institutions and their respective schools

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and their schools or departments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.76
     pleas
    -0.74
     tame
    -0.74
     pes
    -0.70
     dormant
    -0.66
     monarch
    -0.64
     detox
    -0.63
    DonaldTrump
    -0.63
    OPLE
    -0.63
     occasion
    -0.62
    POSITIVE LOGITS
     School
    0.95
    master
    0.91
    masters
    0.90
     Simulator
    0.89
    neys
    0.88
     Students
    0.85
     Layout
    0.83
    enium
    0.82
    School
    0.82
    bara
    0.82
    Activations Density 0.020%

    No Known Activations