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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. 12-RES-JB
    11. 3775
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    Explanations

    sentences related to sports games or match events

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    actions and occurrences related to sports events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.83
    FY
    -0.74
    wcsstore
    -0.69
    onyms
    -0.66
    Documents
    -0.65
    wordpress
    -0.63
    tymology
    -0.63
    ivities
    -0.61
    achelor
    -0.61
    VERTISEMENT
    -0.59
    POSITIVE LOGITS
     referee
    0.98
     goalkeeper
    0.98
     teammate
    0.97
     keeper
    0.92
     defender
    0.90
     substitute
    0.88
     fullback
    0.86
     linem
    0.84
     Giov
    0.83
     Cole
    0.81
    Activations Density 0.199%

    No Known Activations