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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. 9126
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    Explanations

    phrases indicating a desire or intent to do something

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the verb "be" in various contexts

    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
    PsyNetMessage
    -0.71
     fray
    -0.69
     suffice
    -0.67
    iasco
    -0.66
    pedia
    -0.65
     crumble
    -0.64
     converge
    -0.64
    plings
    -0.63
    strous
    -0.63
     spill
    -0.63
    POSITIVE LOGITS
     able
    1.08
    friends
    0.98
    acons
    0.88
     honest
    0.87
    getting
    0.87
     thankful
    0.87
    AUT
    0.85
    hemoth
    0.84
    mo
    0.81
    orc
    0.80
    Activations Density 0.180%

    No Known Activations