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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. 5-RES-JB
    6. 16995
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    Explanations

    words related to application or use in a technical or physiological context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "applied" and its variations, indicating the action of using or implementing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OUS
    -0.72
    omes
    -0.68
    arta
    -0.67
    keeping
    -0.66
    etsk
    -0.64
     Proto
    -0.64
    aults
    -0.63
    \">
    -0.63
    bda
    -0.63
    quel
    -0.63
    POSITIVE LOGITS
    aution
    0.79
     pse
    0.78
     parach
    0.72
     inconsist
    0.72
     uniformly
    0.72
     appl
    0.71
     pressure
    0.71
     mathemat
    0.70
     applied
    0.70
     satell
    0.69
    Activations Density 0.024%

    No Known Activations