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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. 4465
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    Explanations

    proper nouns, specifically names like "Joss" and "Graham"

    oai_token-act-pair · gpt-3.5-turbo

    the word "oss" 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
    ãĥ£
    -0.79
    ufact
    -0.71
    è¦ļéĨĴ
    -0.69
    ropolitan
    -0.67
    mate
    -0.65
    ric
    -0.64
    Beast
    -0.63
    assies
    -0.61
    RO
    -0.61
    azon
    -0.60
    POSITIVE LOGITS
     Whedon
    1.23
    essed
    1.06
    essing
    1.03
    es
    0.96
    edIn
    0.94
    enger
    0.90
    essor
    0.90
    essors
    0.87
    ips
    0.85
    idents
    0.83
    Activations Density 0.019%

    No Known Activations