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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    instances of the word "Oak"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Oak" in various contexts

    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
    enance
    -0.80
    vous
    -0.79
    SHIP
    -0.76
    è¦ļéĨĴ
    -0.75
    effective
    -0.66
    ozyg
    -0.64
    anmar
    -0.64
     bewild
    -0.63
     disenfranch
    -0.62
    ĸļ
    -0.61
    POSITIVE LOGITS
    ridge
    1.06
    sterdam
    1.05
    wood
    1.04
    vale
    1.04
    Oak
    1.02
    leaf
    1.01
    bridge
    1.00
     Ridge
    0.94
    tree
    0.89
    hurst
    0.87
    Activations Density 0.006%

    No Known Activations