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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 22311
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    Explanations

    phrases related to organizations or people with the word "Cart" in them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Cart," likely referring to a specific character or entity in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    -+
    -0.68
    IDENT
    -0.68
    æµ
    -0.68
    ç¥ŀ
    -0.68
    é¾
    -0.67
    «ĺ
    -0.67
    @#&
    -0.67
     Frankenstein
    -0.67
    FORMATION
    -0.65
    lihood
    -0.65
    POSITIVE LOGITS
    otle
    1.20
    ridges
    1.15
    ridge
    1.08
    esian
    0.98
    zen
    0.97
    oons
    0.95
    ilage
    0.91
    alyst
    0.90
    ophon
    0.89
    rip
    0.88
    Activations Density 0.021%

    No Known Activations