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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 15123
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    Explanations

    phrases containing the word "Pu" with varying activation levels

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Pu" and its variations in different contexts

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

    No Comments

    Negative Logits
     Cosponsors
    -1.06
     GOODMAN
    -0.83
    hips
    -0.80
    rawdownloadcloneembedreportprint
    -0.78
    Interstitial
    -0.76
    */(
    -0.71
     Corinth
    -0.69
     Borders
    -0.67
     Beir
    -0.67
     abdom
    -0.67
    POSITIVE LOGITS
     Pu
    0.99
    ente
    0.97
    ja
    0.96
    issance
    0.95
    etooth
    0.92
    asa
    0.92
    pport
    0.91
    pee
    0.91
    cci
    0.90
    isine
    0.89
    Activations Density 0.008%

    No Known Activations