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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. 1873
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    Explanations

    measurements in inches

    oai_token-act-pair · gpt-3.5-turbo

    mentions of measurements in inches

    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
    actionDate
    -0.90
    eer
    -0.73
    nda
    -0.72
    effects
    -0.71
    andom
    -0.70
    ãĤ¡
    -0.69
    analysis
    -0.67
    infeld
    -0.67
    immune
    -0.66
    anwhile
    -0.64
    POSITIVE LOGITS
     diameter
    1.00
     taller
    0.90
     tall
    0.87
    itudinal
    0.86
     circumference
    0.85
     thick
    0.83
     aperture
    0.76
     inches
    0.74
     thickness
    0.73
     protr
    0.73
    Activations Density 0.024%

    No Known Activations