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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 17225
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    Explanations

    directives or instructions in the context of communication and expression

    oai_token-act-pair · gpt-3.5-turbo

    instructions or advice regarding communication and expression

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kefeller
    -1.06
     RAID
    -0.87
     Costco
    -0.84
     Savings
    -0.82
    Upgrade
    -0.80
    Luck
    -0.79
     Pwr
    -0.78
    amd
    -0.74
    finder
    -0.74
     Comet
    -0.73
    POSITIVE LOGITS
     speech
    1.78
     spoken
    1.78
    speech
    1.76
     Speech
    1.68
     speaking
    1.66
     speak
    1.65
     speaker
    1.64
     speakers
    1.63
     voice
    1.62
     verbal
    1.61
    Activations Density 0.686%

    No Known Activations