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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. 4-RES-JB
    11. 14386
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    Explanations

    words related to basketball teams, such as team names and player names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific basketball teams and players

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

    No Comments

    Negative Logits
    shore
    -0.72
    SPONSORED
    -0.71
    judicial
    -0.66
    lying
    -0.65
     Hume
    -0.62
     leaf
    -0.60
    whe
    -0.60
    ctors
    -0.60
     Nar
    -0.60
    ledged
    -0.59
    POSITIVE LOGITS
     Pacers
    0.93
    ockets
    0.91
    NBA
    0.88
     basketball
    0.87
     Basketball
    0.87
     Hots
    0.82
     Celtics
    0.82
     Rockets
    0.81
     Clippers
    0.79
     Nets
    0.79
    Activations Density 0.036%

    No Known Activations