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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. 6-RES-JB
    11. 992
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    Explanations

    breeds of animals or uses the term 'breeders'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dog breeds and breeding practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.74
     Cheong
    -0.68
    ynthesis
    -0.66
     Garc
    -0.66
    inez
    -0.65
     Phone
    -0.65
     helicop
    -0.65
     Coffin
    -0.64
     sclerosis
    -0.64
     Lank
    -0.64
    POSITIVE LOGITS
     bred
    1.15
     breeding
    0.97
     breed
    0.90
     puppies
    0.86
    ers
    0.84
     dogs
    0.84
     Breed
    0.83
    bred
    0.80
     tigers
    0.77
     rabbits
    0.75
    Activations Density 0.021%

    No Known Activations