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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. 3-RES-JB
    11. 23038
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    Explanations

    words related to cameras and photography

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "camera" and related media notation in the context of interviews or press events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abl
    -0.81
    itar
    -0.75
    uga
    -0.75
    mit
    -0.74
    aci
    -0.72
    ouses
    -0.70
    amic
    -0.69
    ring
    -0.68
    ologically
    -0.67
    hook
    -0.66
    POSITIVE LOGITS
     IMAGES
    0.93
     PHOTO
    0.87
    allery
    0.81
     Fres
    0.80
    patrick
    0.80
     WATCHED
    0.79
    HAEL
    0.78
    PLIED
    0.77
     Frie
    0.75
     Comed
    0.75
    Activations Density 0.040%

    No Known Activations