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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. 10-RES-JB
    11. 6290
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    Explanations

    references to a specific term or brand "Monster."

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Monster" franchise and its characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atories
    -0.86
    SourceFile
    -0.79
    ories
    -0.75
    ricks
    -0.69
    atche
    -0.69
    lest
    -0.68
     Seym
    -0.68
    gewater
    -0.67
    grad
    -0.66
    glas
    -0.66
    POSITIVE LOGITS
     hunter
    0.88
     monsters
    0.85
    ãĥĢ
    0.85
     beasts
    0.84
     lair
    0.83
     wre
    0.82
     monster
    0.82
    busters
    0.81
     Reborn
    0.80
     Monstrous
    0.79
    Activations Density 0.038%

    No Known Activations