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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. 3-RES-JB
    11. 19999
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    INDEX
    Explanations

    words related to industrial topics or industries

    oai_token-act-pair · gpt-3.5-turbo

    references to the Industrial Revolution and related industrial concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.82
    words
    -0.81
    theless
    -0.78
    ktop
    -0.76
    Downloadha
    -0.75
    thood
    -0.72
    staking
    -0.71
    BOOK
    -0.71
    */(
    -0.70
    same
    -0.70
    POSITIVE LOGITS
    ization
    1.01
    ised
    0.90
    isation
    0.88
    ists
    0.85
     hemp
    0.84
    ized
    0.84
    izational
    0.83
    izing
    0.81
    Craft
    0.80
     Worker
    0.78
    Activations Density 0.010%

    No Known Activations