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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. 11-RES-JB
    11. 17232
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    technical terms related to imaging and data processing

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to imaging and data processing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Nug
    -0.75
     Grape
    -0.75
     Polit
    -0.75
     Acad
    -0.71
    ariat
    -0.70
     Cosmetic
    -0.68
     Pork
    -0.67
     Recipe
    -0.67
     Myth
    -0.67
     Manor
    -0.66
    POSITIVE LOGITS
     interpol
    1.20
     latency
    1.14
     brightness
    1.13
     distortion
    1.12
     acceleration
    1.11
     synchronization
    1.10
     modulation
    1.09
     accuracy
    1.07
     detection
    1.06
     amplitude
    1.06
    Activations Density 0.245%

    No Known Activations