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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 16999
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    INDEX
    Explanations

    terms related to levels or intensities of a characteristic or attribute

    oai_token-act-pair · gpt-3.5-turbo

    references to severity or intensity of various situations

    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
    icia
    -0.78
    vl
    -0.76
    erity
    -0.74
    frog
    -0.73
    aughlin
    -0.71
    BIL
    -0.70
    ply
    -0.70
    ISTORY
    -0.69
    uba
    -0.69
    mith
    -0.69
    POSITIVE LOGITS
     underlying
    1.00
     respective
    0.98
     relationship
    0.95
     offending
    0.94
     argument
    0.93
     spectrum
    0.92
     phenomenon
    0.89
     latter
    0.89
     equation
    0.88
     problem
    0.87
    Activations Density 0.252%

    No Known Activations