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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. 8-RES-JB
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    Explanations

    references to sports teams, particularly those associated with the city of Houston

    oai_token-act-pair · gpt-3.5-turbo

    references to Houston sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    udic
    -0.78
    lihood
    -0.77
    thood
    -0.75
    arial
    -0.74
    DonaldTrump
    -0.70
    BOOK
    -0.70
    epad
    -0.68
    ãĥ¯
    -0.67
    chant
    -0.66
    zzo
    -0.64
    POSITIVE LOGITS
     Dynamo
    1.22
     Chronicle
    1.19
     Rockets
    1.13
    STON
    1.12
     Texans
    1.08
     Astros
    1.06
    ians
    0.94
     Oilers
    0.92
    ns
    0.76
    sburg
    0.74
    Activations Density 0.028%

    No Known Activations