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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. 9330
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    Explanations

    matches or competitions

    oai_token-act-pair · gpt-3.5-turbo

    words related to sports matchups and competitive events

    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
    redit
    -0.81
    aft
    -0.71
    metic
    -0.71
     impe
    -0.71
    achev
    -0.71
    growth
    -0.70
     incorpor
    -0.70
    ridges
    -0.69
    azon
    -0.69
    lear
    -0.68
    POSITIVE LOGITS
     matchup
    1.10
     matchups
    1.00
     against
    0.93
     opponent
    0.90
     opener
    0.85
     between
    0.85
     pitted
    0.84
     rivalry
    0.82
    dayName
    0.79
     opponents
    0.77
    Activations Density 0.063%

    No Known Activations