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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. 0-RES-JB
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    Explanations

    the word "sed" in different forms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Sedin brothers in a sports context

    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
    AppData
    -0.76
     chore
    -0.73
     Batt
    -0.66
     raspberry
    -0.64
    ABC
    -0.64
    erest
    -0.63
     spear
    -0.63
     bart
    -0.62
     invent
    -0.62
     NCT
    -0.62
    POSITIVE LOGITS
     Sed
    3.38
    sed
    2.96
     Ster
    0.98
     Seat
    0.93
     Sven
    0.81
     Manson
    0.79
    nosis
    0.78
     Schw
    0.77
    eda
    0.75
     Ply
    0.75
    Activations Density 0.025%

    No Known Activations