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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. 18818
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    Explanations

    terms related to technology and gaming, specifically focusing on player actions and experiences in a digital environment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to players and viewers in interactive media

    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
    hots
    -0.83
    pread
    -0.79
    arus
    -0.77
    poons
    -0.74
    equality
    -0.74
    ilver
    -0.73
    hell
    -0.71
    etting
    -0.71
    ories
    -0.71
     Cups
    -0.70
    POSITIVE LOGITS
    's
    0.92
    ÃŃs
    0.88
    osphere
    0.87
    liest
    0.82
     itself
    0.80
     perce
    0.79
    ´
    0.78
     chooses
    0.77
     portion
    0.77
     spouse
    0.74
    Activations Density 0.212%

    No Known Activations