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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. 9388
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    Explanations

    references to notable individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to opinions or commentary about individuals

    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
     hazardous
    -0.69
     regulated
    -0.68
     accommodation
    -0.67
     backlog
    -0.65
    ETF
    -0.64
     pathway
    -0.63
     compliance
    -0.63
    azard
    -0.62
     maintenance
    -0.60
     complying
    -0.60
    POSITIVE LOGITS
     his
    0.88
    His
    0.88
     him
    0.81
    Actor
    0.81
     His
    0.80
    his
    0.78
     Dude
    0.71
     he
    0.70
     Actor
    0.70
     admire
    0.68
    Activations Density 1.230%

    No Known Activations