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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 19857
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    Explanations

    addresses, including street names and numbers

    oai_token-act-pair · gpt-3.5-turbo

    numerical addresses and locations associated with buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     flavours
    -0.78
    ophon
    -0.77
    ombies
    -0.71
     learnt
    -0.71
    phabet
    -0.70
     merciless
    -0.70
     ransom
    -0.70
     regimes
    -0.70
     mastered
    -0.69
    hitting
    -0.68
    POSITIVE LOGITS
     NW
    1.10
     Avenue
    1.06
     Meadow
    1.04
     Pleasant
    1.04
     Riverside
    1.03
     Antioch
    0.99
     Rue
    0.98
     Sunset
    0.98
     Ave
    0.97
     Arlington
    0.97
    Activations Density 0.066%

    No Known Activations