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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. 6736
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    INDEX
    Explanations

    phrases related to news headlines or current events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations and political contexts

    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
    anwhile
    -0.67
    itored
    -0.54
     respectively
    -0.52
    ashington
    -0.51
     local
    -0.50
     Local
    -0.48
     srf
    -0.47
    igible
    -0.47
    redited
    -0.47
    named
    -0.46
    POSITIVE LOGITS
    coin
    0.56
     guy
    0.56
     sag
    0.53
     sucks
    0.50
     guys
    0.50
     devs
    0.49
    Coin
    0.47
    !)
    0.46
    gamer
    0.45
    istor
    0.45
    Activations Density 2.571%

    No Known Activations