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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. 2-RES-JB
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    Explanations

    phrases related to the hunting or survival of seals

    oai_token-act-pair · gpt-3.5-turbo

    words related to seals, particularly in the context of wildlife and conservation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itters
    -0.69
    schild
    -0.67
    enegger
    -0.66
     Rove
    -0.64
    enez
    -0.64
    chy
    -0.62
    itsch
    -0.61
    imbabwe
    -0.61
    theless
    -0.61
    requency
    -0.61
    POSITIVE LOGITS
     seal
    1.17
     seals
    1.11
    keeper
    0.86
     Seal
    0.86
    ife
    0.86
    otype
    0.83
    heed
    0.81
    keepers
    0.78
    wrap
    0.78
     sealing
    0.76
    Activations Density 0.005%

    No Known Activations