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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. 18135
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    Explanations

    specific phrases related to actions and events

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or activities involving movement or change

    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
     anymore
    -0.51
    tan
    -0.49
     whichever
    -0.48
    base
    -0.47
    iddle
    -0.47
    yond
    -0.47
     Chapters
    -0.47
    MI
    -0.47
    entric
    -0.46
    affected
    -0.46
    POSITIVE LOGITS
     yesterday
    0.60
     last
    0.59
     earlier
    0.53
     Thursday
    0.52
     captcha
    0.49
     extensively
    0.49
     Roz
    0.48
     Wednesday
    0.48
     Horowitz
    0.48
     ax
    0.48
    Activations Density 1.103%

    No Known Activations