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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. 3-RES-JB
    11. 13481
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    Explanations

    references to boats

    oai_token-act-pair · gpt-3.5-turbo

    references to boats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.72
    uate
    -0.67
    eyes
    -0.67
     Lamar
    -0.67
    Interstitial
    -0.66
    ews
    -0.65
    nyder
    -0.64
    mary
    -0.64
    heimer
    -0.63
    ENCE
    -0.62
    POSITIVE LOGITS
    boat
    1.29
     boat
    1.16
    boats
    1.15
    wright
    1.13
     boats
    1.09
    loads
    1.04
     Graveyard
    1.01
     docks
    0.98
     Boat
    0.94
    yard
    0.91
    Activations Density 0.015%

    No Known Activations