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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. 2917
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    Explanations

    references to ferries

    oai_token-act-pair · gpt-3.5-turbo

    references to ferry transportation

    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
    alien
    -0.85
    organic
    -0.80
    ioch
    -0.71
    heimer
    -0.69
    Downloadha
    -0.67
    amaru
    -0.66
    oln
    -0.65
    andi
    -0.65
    cius
    -0.63
     Lamar
    -0.63
    POSITIVE LOGITS
    boat
    1.06
     ferry
    0.98
    boats
    0.96
     Graveyard
    0.83
    ments
    0.81
    ships
    0.79
    wright
    0.78
     docks
    0.76
    elines
    0.74
     departing
    0.72
    Activations Density 0.013%

    No Known Activations