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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
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    INDEX
    Explanations

    mentions of the word "energy"

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of energy and vitality

    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
    lihood
    -0.98
    gery
    -0.79
    ãĥīãĥ©
    -0.74
    geries
    -0.71
    ettings
    -0.70
    glers
    -0.68
    ottage
    -0.66
     Cause
    -0.64
     Doct
    -0.63
     Mock
    -0.63
    POSITIVE LOGITS
     energy
    0.88
     energ
    0.83
    energy
    0.78
     expended
    0.77
     Enhancement
    0.76
     efficiency
    0.73
     capacitor
    0.73
    inventoryQuantity
    0.73
     efficient
    0.72
     intensive
    0.72
    Activations Density 0.018%

    No Known Activations