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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. 13092
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    Explanations

    high-resolution display specifications, particularly focusing on screen resolutions

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to display technology

    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
     Nug
    -0.92
     Herb
    -0.78
    osure
    -0.76
     Regulations
    -0.76
    bol
    -0.75
    ItemTracker
    -0.74
     Hoff
    -0.74
    #$#$
    -0.73
     Ans
    -0.73
    oleon
    -0.73
    POSITIVE LOGITS
     1080
    1.44
    1080
    1.36
     1280
    1.35
     1440
    1.28
     pixels
    1.27
    1920
    1.27
    fps
    1.26
     pixel
    1.25
     HDR
    1.24
     OLED
    1.23
    Activations Density 0.298%

    No Known Activations