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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. 10-RES-JB
    11. 16297
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    Explanations

    objects and locations related to various materials, such as water, snow, oil, gas, chocolate, etc

    oai_token-act-pair · gpt-3.5-turbo

    references to specific objects or items, particularly in relation to their physical characteristics or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Parts
    -0.75
    brids
    -0.74
    ItemImage
    -0.73
    SPONSORED
    -0.70
     Infrastructure
    -0.69
    Comments
    -0.69
     Articles
    -0.69
     Guidelines
    -0.68
    Information
    -0.67
    Topics
    -0.66
    POSITIVE LOGITS
     salesman
    0.97
     bunny
    0.91
     dancer
    0.88
     disco
    0.86
     bikini
    0.86
     dude
    0.83
     blaster
    0.82
     diner
    0.82
     whore
    0.81
     monkey
    0.80
    Activations Density 0.506%

    No Known Activations