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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. 7-RES-JB
    6. 4291
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    verbs related to inquiry or discovery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isSpecialOrderable
    -0.69
    Reviewer
    -0.66
     ISBN
    -0.64
     depends
    -0.63
     stumble
    -0.62
     Subtle
    -0.61
    wikipedia
    -0.61
     Thumbnails
    -0.61
    urses
    -0.60
    iasco
    -0.60
    POSITIVE LOGITS
     feasibility
    0.75
     authenticity
    0.75
    uate
    0.74
     compliance
    0.68
     constituents
    0.67
    ether
    0.67
     inspir
    0.65
    RM
    0.63
     conformity
    0.63
     possible
    0.62
    Activations Density 0.265%

    No Known Activations