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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. 0-RES-JB
    11. 12910
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    INDEX
    Explanations

    terms related to increase or growth in quantity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to trends and changes in levels, particularly increases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iku
    -0.70
     IMAGES
    -0.70
    bones
    -0.68
     dare
    -0.65
    ae
    -0.64
    iom
    -0.63
    uel
    -0.63
    oha
    -0.63
    license
    -0.62
    ibi
    -0.62
    POSITIVE LOGITS
     increasing
    3.31
     decreasing
    2.69
    increasing
    2.26
     Increasing
    2.11
     accelerating
    2.01
     escalating
    1.87
     increased
    1.83
     diminishing
    1.80
     expanding
    1.79
     growing
    1.78
    Activations Density 0.020%

    No Known Activations