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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. 11830
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    INDEX
    Explanations

    descriptions and mentions of cameras or camera-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to cameras and their actions in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.83
    dict
    -0.80
    theless
    -0.78
    forth
    -0.77
    tions
    -0.75
    hend
    -0.74
    doms
    -0.73
    emonic
    -0.72
    ulkan
    -0.71
    wegian
    -0.66
    POSITIVE LOGITS
     lens
    1.12
     angles
    0.99
     shutter
    0.99
     tripod
    0.99
     footage
    0.99
     lenses
    0.97
     pans
    0.88
     angle
    0.87
    Lens
    0.84
     Camer
    0.84
    Activations Density 0.061%

    No Known Activations