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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. 7748
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    Explanations

    locations or cities

    oai_token-act-pair · gpt-3.5-turbo

    names of cities and locations

    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
    hement
    -0.74
    slot
    -0.74
    inventory
    -0.74
    earance
    -0.71
    lihood
    -0.71
    arget
    -0.69
    thereum
    -0.69
    activation
    -0.69
    ittal
    -0.68
    mentioned
    -0.68
    POSITIVE LOGITS
     winters
    1.10
     Nights
    1.02
     Skies
    1.01
     Avenue
    0.88
     Style
    0.86
     Comic
    0.86
     skyline
    0.86
     circa
    0.85
     natives
    0.84
     Beautiful
    0.83
    Activations Density 0.355%

    No Known Activations