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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. 23325
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    Explanations

    terms related to collar parts or accessories

    oai_token-act-pair · gpt-3.5-turbo

    references to collar and leash, particularly in relation to workers

    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
    ulsion
    -0.74
     Cay
    -0.68
     NCT
    -0.66
    integer
    -0.63
    conservancy
    -0.63
    efficient
    -0.62
    ulton
    -0.62
    onent
    -0.61
    Lot
    -0.61
    ovich
    -0.61
    POSITIVE LOGITS
    bones
    1.51
    bone
    1.44
    collar
    1.11
     collar
    1.07
     bone
    0.84
     bones
    0.82
    enegger
    0.77
     wool
    0.77
     fingertips
    0.77
     knit
    0.75
    Activations Density 0.003%

    No Known Activations