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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "consortium"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of consortiums and collaborative groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oves
    -0.76
    anny
    -0.68
    igr
    -0.66
    ve
    -0.65
    andise
    -0.65
     DO
    -0.64
    tips
    -0.64
    Anim
    -0.64
     outdoors
    -0.62
    ilda
    -0.60
    POSITIVE LOGITS
     consortium
    3.73
     Consortium
    3.44
    ortium
    2.09
     coalition
    1.27
     conglomerate
    1.13
     cartel
    1.06
     alliance
    1.06
     Partnership
    1.05
     olig
    1.05
     consultancy
    1.03
    Activations Density 0.014%

    No Known Activations