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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. 21491
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    Explanations

    phrases indicating potential outcomes or consequences of actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating outcomes or consequences

    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
     spaced
    -0.72
     craw
    -0.71
    bones
    -0.70
     periphery
    -0.67
     ut
    -0.65
     Straw
    -0.64
     floors
    -0.64
     Secrets
    -0.63
     pitch
    -0.63
     vigil
    -0.61
    POSITIVE LOGITS
    Enh
    0.83
    interstitial
    0.80
    UE
    0.79
    swers
    0.79
    uments
    0.78
    uced
    0.78
    antly
    0.77
    ivity
    0.71
    uces
    0.71
    enance
    0.70
    Activations Density 0.029%

    No Known Activations