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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. 4-RES-JB
    11. 2744
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    Explanations

    camera brands and technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to camera brands and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isode
    -0.82
    onge
    -0.73
    boro
    -0.69
     XCOM
    -0.69
    hee
    -0.67
    nesota
    -0.67
    hend
    -0.67
    Beat
    -0.67
    cloth
    -0.66
    aneers
    -0.65
    POSITIVE LOGITS
     Nikon
    1.07
     Leica
    1.04
     lens
    0.94
     lenses
    0.93
     photographers
    0.89
     Camer
    0.86
     camera
    0.86
     cameras
    0.83
     shutter
    0.83
     Mehran
    0.82
    Activations Density 0.036%

    No Known Activations