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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. 19007
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    Explanations

    technical specifications related to image and video quality

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and features of video and imaging devices

    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
     Charity
    -0.75
     clubhouse
    -0.74
    mone
    -0.73
     Rebell
    -0.72
     Cyn
    -0.71
    verning
    -0.70
     Jolly
    -0.69
    otle
    -0.69
    meet
    -0.69
     Doe
    -0.68
    POSITIVE LOGITS
     HDR
    1.14
     fps
    1.08
     visuals
    1.04
     settings
    1.03
     presets
    1.00
     codec
    0.99
     distortion
    0.98
     playback
    0.97
    RGB
    0.96
    Texture
    0.96
    Activations Density 0.303%

    No Known Activations