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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. 1-RES-JB
    11. 14244
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    INDEX
    Explanations

    mentions of progress or advancement

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of progression or advancement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aiman
    -0.69
    ****************
    -0.69
    arling
    -0.67
    OUNT
    -0.66
    zsche
    -0.64
     Magnum
    -0.64
     Kiss
    -0.64
    yer
    -0.63
    olicited
    -0.63
    sol
    -0.60
    POSITIVE LOGITS
     progression
    1.36
    iferation
    0.98
     advancement
    0.89
     progresses
    0.89
     progressed
    0.85
    gression
    0.85
     progressing
    0.82
     guiActiveUn
    0.76
     ende
    0.75
     progress
    0.75
    Activations Density 0.007%

    No Known Activations