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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. 12009
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    Explanations

    mentions of jellyfish in various contexts and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of jellyfish

    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
    xual
    -1.03
    ively
    -0.80
    Rap
    -0.69
    heny
    -0.68
    VERTIS
    -0.67
    CRIP
    -0.67
    ued
    -0.67
    uing
    -0.64
    ãĤº
    -0.64
    CVE
    -0.64
    POSITIVE LOGITS
    bean
    1.39
    beans
    1.22
    fish
    1.22
     beans
    1.08
     bean
    1.02
     Beans
    0.97
     Bean
    0.90
    ichick
    0.85
    opus
    0.80
    hots
    0.80
    Activations Density 0.040%

    No Known Activations