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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. 2-RES-JB
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    Explanations

    phrases related to sports teams, specifically "Sporting" followed by a word or city name

    oai_token-act-pair · gpt-3.5-turbo

    references to "Sporting" in various contexts related to sports teams or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    upon
    -0.76
    onym
    -0.75
    onyms
    -0.70
    ylum
    -0.69
    escal
    -0.69
    pour
    -0.69
    ipolar
    -0.68
    umbn
    -0.68
     awoken
    -0.66
    zers
    -0.66
    POSITIVE LOGITS
     Sporting
    1.23
    folios
    0.95
     KC
    0.90
     Goods
    0.88
    KC
    0.87
    ocity
    0.85
     Kansas
    0.81
    folio
    0.80
     Facilities
    0.79
     Lisbon
    0.74
    Activations Density 0.006%

    No Known Activations