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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. 10-RES-JB
    11. 21676
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    Explanations

    the word "boat" with varying degrees of intensity

    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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phis
    -0.67
    eyes
    -0.66
    arial
    -0.65
     Lamar
    -0.64
     Staples
    -0.63
     Decoder
    -0.63
    VS
    -0.63
    heimer
    -0.63
     MRI
    -0.61
    ENCE
    -0.61
    POSITIVE LOGITS
    boat
    1.31
    loads
    1.22
    boats
    1.20
    wright
    1.09
     sailing
    1.08
    load
    1.04
     boats
    1.04
     raft
    1.04
     boat
    1.01
     sailed
    1.00
    Activations Density 0.035%

    No Known Activations