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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. 0-RES-JB
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    Explanations

    words related to littering or scattered objects

    oai_token-act-pair · gpt-3.5-turbo

    instances of "litter" and related terms reflecting waste or debris in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Av
    -0.74
     Authorization
    -0.70
    isco
    -0.70
    akov
    -0.67
    avi
    -0.67
    aga
    -0.66
    Ax
    -0.64
    Aaron
    -0.64
    ||
    -0.64
     Fargo
    -0.62
    POSITIVE LOGITS
     litter
    4.50
     littered
    1.52
     clutter
    1.42
     stre
    1.16
     trash
    1.09
     feces
    1.06
     compost
    1.01
     kittens
    1.00
     poop
    1.00
     puppies
    0.99
    Activations Density 0.014%

    No Known Activations