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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. 7-RES-JB
    11. 17922
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    INDEX
    Explanations

    features and characteristics related to physical objects or entities

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable metrics and characteristics related to size and density

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Monitor
    -0.78
    onel
    -0.76
    wark
    -0.66
     STEP
    -0.65
    gently
    -0.64
    MRI
    -0.64
    Sham
    -0.62
    illac
    -0.60
    monitor
    -0.60
    Step
    -0.60
    POSITIVE LOGITS
     nature
    0.95
     penchant
    0.92
     propensity
    0.90
     ubiqu
    0.88
     tendency
    0.87
    itiveness
    0.86
     inherent
    0.85
     similarities
    0.84
     popularity
    0.83
     inability
    0.83
    Activations Density 0.472%

    No Known Activations