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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. 9-RES-JB
    11. 15657
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    Explanations

    measurements or terms related to measuring various quantities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and quantification

    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
    illard
    -0.91
    ozy
    -0.77
    udeb
    -0.73
    osate
    -0.72
    swer
    -0.71
     Carbuncle
    -0.71
     pard
    -0.69
    burning
    -0.69
    ciating
    -0.67
    olla
    -0.67
    POSITIVE LOGITS
     elapsed
    0.85
     measurement
    0.82
    enance
    0.80
     metrics
    0.80
     measurements
    0.80
     measuring
    0.78
    Measure
    0.76
    itatively
    0.76
     inacc
    0.75
     instruments
    0.75
    Activations Density 0.062%

    No Known Activations