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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. 3715
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    Explanations

    instances of the word "Monster"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Monster" in various contexts

    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
    atory
    -1.04
    atories
    -0.95
    ulation
    -0.81
    rive
    -0.80
    ular
    -0.80
    lest
    -0.78
    ulating
    -0.76
    ulatory
    -0.75
    ATED
    -0.75
    pired
    -0.74
    POSITIVE LOGITS
     Parenthood
    0.82
     Hunter
    0.81
     Girl
    0.79
    wagen
    0.79
     Fighters
    0.78
     Energy
    0.74
     Bever
    0.73
     Squad
    0.73
     Caller
    0.72
     Truck
    0.72
    Activations Density 0.020%

    No Known Activations