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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. 4-RES-JB
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    Explanations

    mentions of dogs and related activities

    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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oulos
    -0.86
    éĹĺ
    -0.82
     Edison
    -0.78
    kefeller
    -0.73
    esson
    -0.73
    icity
    -0.72
    erences
    -0.72
    itures
    -0.72
    ORN
    -0.71
    utions
    -0.69
    POSITIVE LOGITS
     barking
    0.97
     dogs
    0.96
    meat
    0.95
    patch
    0.95
     puppies
    0.94
    Dog
    0.93
     dog
    0.93
    fighter
    0.89
     pup
    0.89
    fighting
    0.89
    Activations Density 0.025%

    No Known Activations