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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. 1-RES-JB
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    Explanations

    the word "que" in a document

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "queer."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ARGET
    -0.76
    ITAL
    -0.70
    é¾įå
    -0.68
     Defenders
    -0.68
    ERAL
    -0.66
    APH
    -0.65
    RON
    -0.64
    ãĥ³ãĤ¸
    -0.64
     Hodg
    -0.63
     à¨
    -0.63
    POSITIVE LOGITS
    que
    1.47
    ques
    0.92
    aque
    0.85
    ophon
    0.83
    oking
    0.81
    zon
    0.81
    atri
    0.81
    erness
    0.81
    edo
    0.80
    zzo
    0.79
    Activations Density 0.008%

    No Known Activations