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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. 4-RES-JB
    11. 7842
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    Explanations

    locations like restaurants or streets in a city

    oai_token-act-pair · gpt-3.5-turbo

    the word "diner" and variations of it in different contexts

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

    No Comments

    Negative Logits
    hovah
    -0.99
    soDeliveryDate
    -0.76
    akening
    -0.73
    ecause
    -0.73
    ODUCT
    -0.69
    enegger
    -0.69
    solid
    -0.69
    sheets
    -0.67
    painted
    -0.66
    Breaking
    -0.65
    POSITIVE LOGITS
    iner
    0.92
    aton
    0.80
    idge
    0.79
    ator
    0.79
     Zeit
    0.77
     offic
    0.76
    berg
    0.75
    ama
    0.73
    ception
    0.73
    iners
    0.73
    Activations Density 0.013%

    No Known Activations