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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    references to dogs

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "dogs."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yss
    -0.72
     Sins
    -0.68
    AE
    -0.68
     Moff
    -0.66
    irgin
    -0.66
     McDonnell
    -0.65
     Weld
    -0.64
    ITED
    -0.63
    UTC
    -0.63
    STEM
    -0.63
    POSITIVE LOGITS
     dogs
    1.26
    dogs
    1.12
     barking
    1.09
     puppies
    1.05
    meat
    0.96
     dog
    0.93
     pup
    0.93
     wolves
    0.92
    dog
    0.90
    ertodd
    0.89
    Activations Density 0.012%

    No Known Activations