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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. 1400
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    INDEX
    Explanations

    words related to major changes, shifts, or significant moments

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to significant changes or shifts in various contexts

    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
    lists
    -0.77
    inately
    -0.76
     redacted
    -0.76
     Lists
    -0.76
     lists
    -0.70
    seless
    -0.69
     Loaded
    -0.69
     smuggled
    -0.67
     handy
    -0.65
     smugg
    -0.65
    POSITIVE LOGITS
     awakening
    1.05
     transformation
    1.01
     paradigm
    0.88
    enment
    0.88
     transforming
    0.88
     transformations
    0.86
     renaissance
    0.82
     transform
    0.80
     irreversible
    0.80
     epoch
    0.80
    Activations Density 0.447%

    No Known Activations