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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. 2-RES-JB
    11. 16024
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    Explanations

    references to cameras or camera-related actions

    oai_token-act-pair · gpt-3.5-turbo

    references to cameras

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    emonic
    -0.86
    heit
    -0.74
    erest
    -0.74
    rust
    -0.71
    ensable
    -0.69
    edin
    -0.68
    ensical
    -0.67
    enberg
    -0.67
    endon
    -0.67
    wegian
    -0.66
    POSITIVE LOGITS
     Camer
    1.15
     cameras
    1.01
     camera
    0.97
     shutter
    0.93
     pans
    0.93
     Camera
    0.92
     Operator
    0.86
     microphones
    0.85
     tripod
    0.82
     Nikon
    0.82
    Activations Density 0.018%

    No Known Activations