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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. 1-RES-JB
    11. 2778
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    Explanations

    phrases related to technology and electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to light bulbs, their types, and associated brands

    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
    author
    -0.74
    Chicken
    -0.73
     Standing
    -0.68
    CB
    -0.68
    States
    -0.66
    ordan
    -0.65
    GAN
    -0.64
    ORD
    -0.64
    Author
    -0.62
    CHA
    -0.62
    POSITIVE LOGITS
     bulb
    1.53
     bulbs
    1.49
    ascus
    0.94
     sockets
    0.91
     lamps
    0.89
    orescent
    0.88
    orescence
    0.86
    oresc
    0.84
    igr
    0.81
    escent
    0.81
    Activations Density 0.007%

    No Known Activations