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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

    mentions of dogs, particularly their actions, characteristics, and interactions with humans

    oai_token-act-pair · gpt-3.5-turbo

    references to dogs

    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
    urden
    -0.74
    wer
    -0.73
    pton
    -0.72
    tion
    -0.72
     UNESCO
    -0.68
    llor
    -0.67
     Bosh
    -0.67
    ilan
    -0.66
    abase
    -0.65
    isc
    -0.65
    POSITIVE LOGITS
     dogs
    3.81
     Dogs
    2.78
     dog
    2.51
     puppies
    2.46
    dogs
    2.39
     pets
    2.28
     cats
    2.23
     canine
    2.20
     animals
    2.02
     pige
    1.99
    Activations Density 0.016%

    No Known Activations