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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. 14346
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    Explanations

    references to player-related interactions and activities in a gaming context

    oai_token-act-pair · gpt-3.5-turbo

    references to players in a game context

    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
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    No Comments

    Negative Logits
    ories
    -0.77
    ¿½
    -0.70
    enthal
    -0.65
    ournal
    -0.65
    azo
    -0.64
     ware
    -0.64
    ouk
    -0.64
     Workers
    -0.63
    AMI
    -0.61
    aceous
    -0.60
    POSITIVE LOGITS
    players
    0.87
    hip
    0.82
     beware
    0.81
    testing
    0.80
    Players
    0.79
    cffff
    0.79
    Unknown
    0.79
    cript
    0.78
    \'
    0.75
    OTA
    0.75
    Activations Density 0.034%

    No Known Activations