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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. 8-RES-JB
    11. 24453
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    INDEX
    Explanations

    mentions of grading or testing systems

    oai_token-act-pair · gpt-3.5-turbo

    references to grading and testing systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zynski
    -0.78
    elo
    -0.75
    playing
    -0.73
    ãĥĩãĤ£
    -0.72
    ortality
    -0.72
    rities
    -0.72
    redo
    -0.72
    ifi
    -0.71
    ified
    -0.71
    essim
    -0.70
    POSITIVE LOGITS
     techniques
    0.97
     methods
    0.96
     procedures
    0.90
     prowess
    0.90
     mechanism
    0.88
    redients
    0.87
     schemes
    0.87
     mechanisms
    0.86
     scheme
    0.85
     apparatus
    0.84
    Activations Density 0.285%

    No Known Activations