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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. 9-RES-JB
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    Explanations

    references to specific locations, particularly those including the word "Oak"

    oai_token-act-pair · gpt-3.5-turbo

    the repetitive mention of the term "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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enance
    -0.86
    innie
    -0.65
     gravity
    -0.63
    ozyg
    -0.62
     exagger
    -0.61
    è¦ļéĨĴ
    -0.60
     mileage
    -0.60
     oppressed
    -0.59
    ederal
    -0.58
     ultrasound
    -0.57
    POSITIVE LOGITS
    sterdam
    1.29
    leys
    1.08
    ridge
    1.06
    vale
    1.05
    leaf
    1.04
    ley
    0.99
    wood
    0.99
    leigh
    0.98
    hurst
    0.97
     Ridge
    0.96
    Activations Density 0.048%

    No Known Activations