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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. 9-RES-JB
    6. 6469
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    Explanations

    medical conditions and injuries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to injuries and legal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ernels
    -1.07
    casts
    -0.97
    builders
    -0.96
    hops
    -0.95
    stories
    -0.94
    rooms
    -0.94
    stones
    -0.91
    downs
    -0.91
    ramids
    -0.90
    tops
    -0.90
    POSITIVE LOGITS
     permit
    0.97
     certificate
    0.96
     invitation
    0.96
     dose
    0.93
     affidavit
    0.92
     warrant
    0.91
     appointment
    0.89
     stint
    0.89
     cameo
    0.89
     plea
    0.89
    Activations Density 0.343%

    No Known Activations