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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. 8-RES-JB
    6. 5253
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    Explanations

    phrases related to providing clarification or additional information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "To" followed by explanations or clarifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nets
    -0.68
     Appears
    -0.61
    dro
    -0.59
     forg
    -0.58
     diapers
    -0.57
    lot
    -0.55
    calling
    -0.54
    fires
    -0.54
     pic
    -0.53
    urgy
    -0.53
    POSITIVE LOGITS
    ilet
    1.45
     summarize
    1.24
     illustrate
    1.12
     reiterate
    1.11
    ppings
    1.10
     complicate
    1.10
    pping
    1.08
     clarify
    1.06
     compensate
    1.06
     commemorate
    1.02
    Activations Density 0.044%

    No Known Activations