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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. 20094
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    Explanations

    phrases related to something being powered or influenced by a specific factor

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with the concept of being fueled or driven, particularly in relation to various events or circumstances

    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
    roma
    -0.75
    perture
    -0.73
    esan
    -0.67
    opers
    -0.61
    endi
    -0.61
    define
    -0.60
    bestos
    -0.60
    arat
    -0.60
    kaya
    -0.60
     Leaves
    -0.60
    POSITIVE LOGITS
     fue
    0.99
     fueling
    0.98
     fueled
    0.92
     fuelled
    0.83
    Fuel
    0.77
     intens
    0.73
    ument
    0.73
     outp
    0.72
    Rod
    0.71
     speculation
    0.70
    Activations Density 0.016%

    No Known Activations