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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. 3701
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    Explanations

    references to the Premier League in the context of soccer and football

    oai_token-act-pair · gpt-3.5-turbo

    references to the Premier League

    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
    anamo
    -1.01
    imaru
    -0.95
    ãĤ¨ãĥ«
    -0.92
    achusetts
    -0.84
    =~=~
    -0.84
    sonian
    -0.83
    ãĤ¼ãĤ¦ãĤ¹
    -0.82
    eor
    -0.82
     Whitman
    -0.81
    olulu
    -0.80
    POSITIVE LOGITS
     footballer
    1.15
     strugg
    1.09
     relegation
    1.00
     champions
    0.96
     opener
    0.91
     qualification
    0.87
     Championship
    0.87
     Champions
    0.85
     playoffs
    0.84
     defences
    0.83
    Activations Density 0.060%

    No Known Activations