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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. 7-RES-JB
    11. 18856
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    Explanations

    phrases related to recreational facilities and amenities

    oai_token-act-pair · gpt-3.5-turbo

    elements related to community amenities and entertainment options

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anes
    -0.65
    iev
    -0.64
    imester
    -0.62
    ulo
    -0.61
    ibia
    -0.59
    arer
    -0.59
    rb
    -0.57
    pler
    -0.57
    rer
    -0.57
    eria
    -0.56
    POSITIVE LOGITS
     assorted
    0.91
     attachments
    0.60
     etc
    0.58
     occasional
    0.58
     pets
    0.58
     calendars
    0.57
     handwritten
    0.56
     personal
    0.56
     gossip
    0.55
     tactile
    0.55
    Activations Density 0.583%

    No Known Activations