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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. 0-RES-JB
    11. 4955
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    Explanations

    references to cameras

    oai_token-act-pair · gpt-3.5-turbo

    references to cameras and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lore
    -0.80
    ingham
    -0.66
    terms
    -0.66
    encies
    -0.66
    ģĸ
    -0.65
     residues
    -0.65
     Chapters
    -0.64
    rosso
    -0.64
    iana
    -0.64
    burg
    -0.63
    POSITIVE LOGITS
     camera
    3.77
     cameras
    3.01
     Camera
    2.80
    camera
    2.73
    Camera
    2.42
     Camer
    2.35
     camer
    2.23
     webcam
    2.04
     microphone
    1.73
     photographers
    1.73
    Activations Density 0.012%

    No Known Activations