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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. 3-RES-JB
    11. 9534
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    Explanations

    references to American football teams, specifically the Green Bay Packers

    oai_token-act-pair · gpt-3.5-turbo

    references to the Green Bay Packers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivia
    -0.76
    wcsstore
    -0.74
    htaking
    -0.72
    milo
    -0.68
    urally
    -0.67
    ively
    -0.66
    ially
    -0.66
    obyl
    -0.65
    iferation
    -0.64
    ãĤ¯
    -0.64
    POSITIVE LOGITS
     Packers
    1.02
     Buccaneers
    0.96
     Bay
    0.90
    esian
    0.79
     Area
    0.78
    Bay
    0.78
    ois
    0.77
     Unified
    0.74
    shire
    0.73
    olla
    0.72
    Activations Density 0.006%

    No Known Activations