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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. 9-RES-JB
    11. 16764
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    Explanations

    words related to desires and ambitions, particularly in terms of hunger and thirst

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or longing for various things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     democratically
    -0.83
    anchester
    -0.73
    soDeliveryDate
    -0.71
     Tornado
    -0.67
    zbollah
    -0.66
     reluct
    -0.65
     vetted
    -0.64
     Weld
    -0.63
    ublic
    -0.63
    WF
    -0.63
    POSITIVE LOGITS
     revenge
    1.14
     perfection
    1.12
     vengeance
    1.12
     adventure
    0.96
     riches
    0.82
     glory
    0.81
     adrenaline
    0.80
     novelty
    0.80
     reproduce
    0.78
     immortality
    0.77
    Activations Density 0.189%

    No Known Activations