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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. 8-RES-JB
    11. 24203
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    INDEX
    Explanations

    mentions or descriptions of cameras

    oai_token-act-pair · gpt-3.5-turbo

    references to cameras and their usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonic
    -0.87
    heit
    -0.81
    stad
    -0.74
    hend
    -0.72
    hee
    -0.72
    tions
    -0.69
    notations
    -0.69
    forth
    -0.67
    theless
    -0.67
    coal
    -0.67
    POSITIVE LOGITS
     shutter
    0.94
     Camer
    0.93
     lens
    0.92
     cameras
    0.87
     camera
    0.83
     microphones
    0.83
    Lens
    0.82
     lenses
    0.82
     footage
    0.82
     tripod
    0.80
    Activations Density 0.030%

    No Known Activations