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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. 7-RES-JB
    11. 22692
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    Explanations

    terms related to sports team activities and affiliations

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rir
    -0.81
    bart
    -0.76
    bent
    -0.67
     Eater
    -0.66
    Domain
    -0.66
    abbage
    -0.66
    grain
    -0.65
    VID
    -0.64
    Cart
    -0.64
    pend
    -0.62
    POSITIVE LOGITS
     coached
    0.91
     rosters
    0.89
    Coach
    0.86
     fullback
    0.84
     roster
    0.80
     coaches
    0.80
     coach
    0.80
    Players
    0.79
     basketball
    0.76
    etts
    0.73
    Activations Density 0.051%

    No Known Activations