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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. 12621
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    Explanations

    the word "spawn" and related variations, indicating the creation or appearance of objects or entities in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of spawning or creating entities and characters in a game or virtual environment

    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
    thodox
    -0.89
    imb
    -0.82
    asketball
    -0.71
    oeuv
    -0.71
    perty
    -0.68
    isine
    -0.67
    utic
    -0.67
    utherford
    -0.66
    oric
    -0.66
    orney
    -0.65
    POSITIVE LOGITS
    Spawn
    0.99
    spawn
    0.98
     Spawn
    0.96
     spawn
    0.91
     spawning
    0.86
    flags
    0.85
     spawned
    0.85
     spawns
    0.77
    ULAR
    0.76
    eers
    0.73
    Activations Density 0.014%

    No Known Activations