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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. 11-RES-JB
    11. 5055
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    Explanations

    keywords related to industrial activities

    oai_token-act-pair · gpt-3.5-turbo

    references to industrial concepts and terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    criptions
    -0.73
    thood
    -0.72
    inventoryQuantity
    -0.67
    stood
    -0.67
    cius
    -0.65
    aired
    -0.63
    package
    -0.60
     Cardinal
    -0.59
    CRIP
    -0.59
     Archdemon
    -0.59
    POSITIVE LOGITS
    ization
    1.13
     hemp
    1.08
    ists
    1.07
    ised
    1.05
    izing
    1.01
    rial
    0.97
    izational
    0.95
    ized
    0.94
    isation
    0.92
     espionage
    0.90
    Activations Density 0.044%

    No Known Activations