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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. 10-RES-JB
    11. 23242
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    Explanations

    words related to meals, specifically lunch

    oai_token-act-pair · gpt-3.5-turbo

    references to lunch

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Judd
    -0.76
     Proposition
    -0.67
     Painter
    -0.64
     Ey
    -0.64
     CSI
    -0.64
     Exile
    -0.63
     Constable
    -0.61
     Vance
    -0.60
     Jericho
    -0.60
    isSpecialOrderable
    -0.59
    POSITIVE LOGITS
    time
    1.26
     buffet
    1.05
    boxes
    1.05
    aturday
    1.01
    worms
    1.01
    wich
    1.00
    bowl
    1.00
    box
    0.97
     cereal
    0.96
    room
    0.92
    Activations Density 0.050%

    No Known Activations